(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 11.3' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    478503,       8969]
NotebookOptionsPosition[    468438,       8804]
NotebookOutlinePosition[    468818,       8821]
CellTagsIndexPosition[    468775,       8818]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
 RowBox[{
  RowBox[{"ShootingMiddle", "[", 
   RowBox[{"estart_", ",", "ddh_", ",", "ops_"}], "]"}], ":=", 
  "\[IndentingNewLine]", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
     "y", ",", "e", ",", "xm", ",", "y1", ",", "y2", ",", "y11", ",", "y22", 
      ",", "delta", ",", "old", ",", "dh"}], "}"}], ",", 
    "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"dh", "=", "ddh"}], ";", "\[IndentingNewLine]", 
     RowBox[{"e", "=", "estart"}], ";", "\[IndentingNewLine]", 
     RowBox[{"xm", "=", 
      RowBox[{"Sqrt", "[", 
       RowBox[{"e", "+", "1"}], "]"}]}], ";", "\[IndentingNewLine]", 
     RowBox[{"old", "=", "1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"delta", "=", "0.1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"While", "[", 
      RowBox[{
       RowBox[{"delta", ">", "ops"}], ",", 
       RowBox[{"{", "\[IndentingNewLine]", 
        RowBox[{
         RowBox[{"y1", "=", 
          RowBox[{"NDSolve", "[", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
                RowBox[{
                 RowBox[{"50", "^", "2"}], "*", 
                 RowBox[{"(", 
                  RowBox[{"e", "-", 
                   RowBox[{
                    RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], 
                 "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{"y", "[", 
                RowBox[{"-", "1"}], "]"}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{
                RowBox[{"y", "'"}], "[", 
                RowBox[{"-", "1"}], "]"}], "\[Equal]", "0.001"}]}], "}"}], 
            ",", "y", ",", 
            RowBox[{"{", 
             RowBox[{"t", ",", 
              RowBox[{"-", "1"}], ",", "xm"}], "}"}]}], "]"}]}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"y2", "=", 
          RowBox[{"NDSolve", "[", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
                RowBox[{
                 RowBox[{"50", "^", "2"}], "*", 
                 RowBox[{"(", 
                  RowBox[{"e", "-", 
                   RowBox[{
                    RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], 
                 "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{"y", "[", "1", "]"}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{
                RowBox[{"y", "'"}], "[", "1", "]"}], "\[Equal]", 
               RowBox[{"-", "0.001"}]}]}], "}"}], ",", "y", ",", 
            RowBox[{"{", 
             RowBox[{"t", ",", "xm", ",", "1"}], "}"}]}], "]"}]}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"y11", "=", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"y", "/.", 
             RowBox[{"y1", "[", 
              RowBox[{"[", 
               RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
           "]"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"y22", "=", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"y", "/.", 
             RowBox[{"y2", "[", 
              RowBox[{"[", 
               RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
           "]"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"delta", "=", 
          RowBox[{"Abs", "[", 
           RowBox[{"y11", "-", "y22"}], "]"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"If", "[", 
          RowBox[{
           RowBox[{
            RowBox[{"old", "*", 
             RowBox[{"(", 
              RowBox[{"y11", "-", "y22"}], ")"}]}], ">", "0"}], ",", 
           "\[IndentingNewLine]", 
           RowBox[{"e", "=", 
            RowBox[{"e", "+", "dh"}]}], ",", "\[IndentingNewLine]", 
           RowBox[{"If", "[", 
            RowBox[{
             RowBox[{
              RowBox[{"old", "*", 
               RowBox[{"(", 
                RowBox[{"y11", "-", "y22"}], ")"}]}], "<", "0"}], ",", 
             RowBox[{"dh", "=", 
              RowBox[{"0.5", "dh"}]}], ",", "Break"}], "]"}]}], "]"}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"old", "=", 
          RowBox[{"y11", "-", "y22"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"xm", "=", 
          RowBox[{"Sqrt", "[", 
           RowBox[{"e", "+", "1"}], "]"}]}], ";"}], "}"}]}], "]"}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"Return", "[", "e", "]"}]}]}], "\[IndentingNewLine]", 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.7863541518140345`*^9, 3.7863541610094423`*^9}, {
   3.7863544276724715`*^9, 3.786354602985776*^9}, {3.786354714823852*^9, 
   3.7863547538105516`*^9}, 3.7863547893913956`*^9, {3.786354871166955*^9, 
   3.786355071210513*^9}, {3.7863551205026875`*^9, 3.786355148017918*^9}, {
   3.786355187670871*^9, 3.7863551919466105`*^9}, {3.7863552433560705`*^9, 
   3.786355397218523*^9}, {3.7863554777664595`*^9, 3.7863557319449263`*^9}, {
   3.786355763632199*^9, 3.7863558029041567`*^9}, {3.7863558446285677`*^9, 
   3.7863558936051016`*^9}, {3.7863559660640807`*^9, 3.786355991393341*^9}, {
   3.786356032698117*^9, 3.78635604407312*^9}, {3.786356650983341*^9, 
   3.786356730637043*^9}, {3.7863567920762396`*^9, 3.7863567934445796`*^9}, {
   3.786356895794323*^9, 3.786356933742347*^9}, {3.786357242933716*^9, 
   3.7863572450301104`*^9}, {3.786357280276848*^9, 3.7863572860743437`*^9}, {
   3.7863617053550243`*^9, 3.786361836042102*^9}, {3.7863618800941515`*^9, 
   3.786361882482389*^9}, {3.7863619284350066`*^9, 3.786361933076226*^9}, {
   3.7863624104376364`*^9, 3.7863624126285086`*^9}, {3.786362470577224*^9, 
   3.7863624727761436`*^9}, {3.7863625627453327`*^9, 
   3.7863625665299187`*^9}, {3.7863626038117847`*^9, 3.786362608765744*^9}, {
   3.786362681743162*^9, 3.786362683976172*^9}, {3.7863952314746733`*^9, 
   3.7863952331405106`*^9}, {3.786396754221862*^9, 3.7863967562509336`*^9}},
 CellLabel->"In[15]:=",ExpressionUUID->"e54a79c8-ea24-4b02-ae41-ffc6b399a841"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ShootingMiddle", "[", 
  RowBox[{
   RowBox[{"-", "0.8"}], ",", "0.01", ",", 
   RowBox[{"10", "^", 
    RowBox[{"-", "6"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7863961398560753`*^9, 3.7863961533240075`*^9}, {
  3.786396416765872*^9, 3.786396417981921*^9}, {3.786396451310162*^9, 
  3.7863964763383503`*^9}, {3.786396667603135*^9, 3.786396679486616*^9}, {
  3.7863967644850683`*^9, 3.786396765467204*^9}},
 CellLabel->"In[16]:=",ExpressionUUID->"b85ac7dc-060e-495a-9a08-e3b929270aca"],

Cell[BoxData[
 RowBox[{"-", "0.6462500000000009`"}]], "Output",
 CellChangeTimes->{
  3.786396154045277*^9, {3.7863964684802856`*^9, 3.786396480551366*^9}, {
   3.7863966697481318`*^9, 3.7863966872865143`*^9}, 3.7863967670941544`*^9},
 CellLabel->"Out[16]=",ExpressionUUID->"10d765e1-d27d-4699-849e-5bc0d4839b20"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"Clear", "[", "e", "]"}]], "Input",
 CellChangeTimes->{{3.7863960662781086`*^9, 3.7863960683913116`*^9}},
 CellLabel->
  "In[471]:=",ExpressionUUID->"64a39e34-3ec3-459f-b2f1-82bfbe2de453"],

Cell[BoxData[
 RowBox[{"Module", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"kk", "=", 
      RowBox[{"{", "Null", "}"}]}], ",", 
     RowBox[{"e", "=", 
      RowBox[{"-", "0.99"}]}], ",", 
     RowBox[{"xm", "=", "0"}]}], "}"}], ",", 
   RowBox[{
    RowBox[{"While", "[", 
     RowBox[{
      RowBox[{"xm", "<", "1"}], ",", 
      RowBox[{"{", 
       RowBox[{
        RowBox[{"e", "=", 
         RowBox[{"ShootingMiddle", "[", 
          RowBox[{"e", ",", "0.005", ",", "0.000001"}], "]"}]}], ",", 
        RowBox[{"AppendTo", "[", 
         RowBox[{"kk", ",", "e"}], "]"}], ",", 
        RowBox[{"xm", "=", 
         RowBox[{"Sqrt", "[", 
          RowBox[{"e", "+", "1"}], "]"}]}]}], "}"}]}], "]"}], ";", 
    RowBox[{"Return", "[", "kk", "]"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.786395724528491*^9, 3.7863957702961597`*^9}, {
  3.7863958177514353`*^9, 3.786395990244027*^9}, {3.7863960224686985`*^9, 
  3.7863960493918905`*^9}, {3.7863960881584115`*^9, 3.7863961002852373`*^9}, {
  3.7863961590854764`*^9, 3.7863961602857885`*^9}, {3.7863964923739176`*^9, 
  3.786396501385897*^9}},ExpressionUUID->"d68b1b2b-84e9-486b-9562-\
fcc7c4e41997"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"kk", "=", 
  RowBox[{"{", "Null", "}"}]}]], "Input",
 CellChangeTimes->{{3.786396264966255*^9, 3.786396272764591*^9}},
 CellLabel->"In[4]:=",ExpressionUUID->"2a53440d-3882-4222-895d-0152088f00b2"],

Cell[BoxData[
 RowBox[{"{", "Null", "}"}]], "Output",
 CellChangeTimes->{
  3.786396005035723*^9, 3.786396051450191*^9, 3.7863961025326796`*^9, {
   3.78639625566259*^9, 3.786396274000016*^9}, 3.78639651254869*^9},
 CellLabel->"Out[4]=",ExpressionUUID->"8649e68e-4b8d-4dfe-81d3-28352372cdc3"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"e", "=", 
  RowBox[{"-", "0.46"}]}]], "Input",
 CellChangeTimes->{{3.786396275217054*^9, 3.786396276983276*^9}, {
  3.7863963932991533`*^9, 3.786396394887829*^9}, {3.786396525594087*^9, 
  3.7863965279835243`*^9}, {3.7863966495311003`*^9, 3.7863966520249944`*^9}},
 CellLabel->"In[9]:=",ExpressionUUID->"653f3cf0-3a4c-44b7-ac17-580c46dc6e92"],

Cell[BoxData[
 RowBox[{"-", "0.46`"}]], "Output",
 CellChangeTimes->{
  3.786396277637314*^9, 3.7863963956819625`*^9, {3.786396514473199*^9, 
   3.7863965291022987`*^9}, 3.7863966528660393`*^9},
 CellLabel->"Out[9]=",ExpressionUUID->"5d7f9e74-605b-40f3-8c3e-a30436b8c2b6"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"xm", "=", "0"}]], "Input",
 CellChangeTimes->{{3.786396280227789*^9, 3.786396281515461*^9}},
 CellLabel->"In[6]:=",ExpressionUUID->"99f39895-906d-4bfb-9703-dfd4a5301ef1"],

Cell[BoxData["0"], "Output",
 CellChangeTimes->{3.786396282223674*^9, 3.786396516330945*^9},
 CellLabel->"Out[6]=",ExpressionUUID->"2b516e53-8d11-4d47-976e-1f7619460eb0"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Monitor", "[", 
  RowBox[{
   RowBox[{"While", "[", 
    RowBox[{
     RowBox[{"xm", "<", "1"}], ",", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"e", "=", 
        RowBox[{"ShootingMiddle", "[", 
         RowBox[{"e", ",", "0.01", ",", "0.000001"}], "]"}]}], ",", 
       RowBox[{"AppendTo", "[", 
        RowBox[{"kk", ",", "e"}], "]"}], ",", 
       RowBox[{"xm", "=", 
        RowBox[{"Sqrt", "[", 
         RowBox[{"e", "+", "1"}], "]"}]}]}], "}"}]}], "]"}], ",", "e"}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.7863962997008533`*^9, 3.7863963242379055`*^9}, {
  3.786396356150055*^9, 3.7863963576226625`*^9}},
 CellLabel->"In[10]:=",ExpressionUUID->"3f462010-0521-4b00-aef5-4e2728f7c304"],

Cell[BoxData["$Aborted"], "Output",
 CellChangeTimes->{{3.7863966372751603`*^9, 3.7863966631499157`*^9}},
 CellLabel->"Out[10]=",ExpressionUUID->"c77a4b5b-5613-44ac-bdbb-325520d55e1b"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ShootingMiddle", "[", 
  RowBox[{
   RowBox[{"-", "0.2"}], ",", "0.01", ",", "0.00001"}], "]"}]], "Input",
 CellChangeTimes->{{3.7863556970891447`*^9, 3.7863557138533115`*^9}, {
   3.7863557819831448`*^9, 3.7863557830582314`*^9}, 3.78635591721048*^9, 
   3.786356753747238*^9, {3.7863568190750732`*^9, 3.786356822660445*^9}, {
   3.7863569157813807`*^9, 3.786356927780292*^9}, {3.786357042086124*^9, 
   3.7863570456396575`*^9}, {3.7863572482624664`*^9, 3.786357248855879*^9}, {
   3.7863572943060393`*^9, 3.7863572944328156`*^9}, {3.786361861635195*^9, 
   3.786361865641695*^9}, {3.7863621664985294`*^9, 3.7863621672262187`*^9}, 
   3.786362197360648*^9, {3.7863623411350145`*^9, 3.786362371069886*^9}, {
   3.7863624352161055`*^9, 3.7863624353427553`*^9}, {3.786362497964588*^9, 
   3.786362524378748*^9}, {3.7863626128242826`*^9, 3.7863626129525204`*^9}, {
   3.7863955961377506`*^9, 3.786395596546445*^9}, {3.7863956488430123`*^9, 
   3.786395649138545*^9}, {3.7863956804697094`*^9, 3.78639568254644*^9}},
 CellLabel->
  "In[467]:=",ExpressionUUID->"1a796588-8ac1-4b87-b974-d81df4168ae5"],

Cell[BoxData[
 RowBox[{"-", "0.10499999999999993`"}]], "Output",
 CellChangeTimes->{{3.7863567344717884`*^9, 3.7863567544593315`*^9}, 
   3.786356795706532*^9, 3.786356827935339*^9, {3.7863569137308655`*^9, 
   3.7863569357818923`*^9}, {3.7863570430485497`*^9, 3.786357053509573*^9}, 
   3.7863572499060707`*^9, {3.7863572909014325`*^9, 3.786357295173872*^9}, 
   3.7863616751732516`*^9, {3.7863618583091984`*^9, 3.786361898899242*^9}, 
   3.786361954179229*^9, 3.786362180563384*^9, 3.7863622462992363`*^9, 
   3.7863623485001*^9, {3.7863624074203205`*^9, 3.78636244611244*^9}, {
   3.7863624804018064`*^9, 3.786362499752114*^9}, 3.7863625341453156`*^9, 
   3.786362573236102*^9, 3.7863626244924273`*^9, 3.7863626917714376`*^9, 
   3.786395262013625*^9, 3.7863955978020954`*^9, 3.7863956500867248`*^9, 
   3.7863956836022305`*^9},
 CellLabel->
  "Out[467]=",ExpressionUUID->"572e8c91-9e2b-4d12-a1db-188bfe74750a"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["xm"], "Input",
 CellChangeTimes->{{3.786395330090059*^9, 3.7863953303901563`*^9}},
 CellLabel->
  "In[450]:=",ExpressionUUID->"250b7711-c122-4588-b1c4-7e1093f6f6cb"],

Cell[BoxData["0.8309444927309687`"], "Output",
 CellChangeTimes->{3.7863953309188347`*^9},
 CellLabel->
  "Out[450]=",ExpressionUUID->"31c3534f-e722-45a5-8e7c-171b7360156d"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Plott", "[", 
   RowBox[{"e_", ",", "j_"}], "]"}], ":=", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"y1", ",", "y2", ",", "xm"}], "}"}], ",", "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"xm", "=", 
      RowBox[{"Sqrt", "[", 
       RowBox[{"e", "+", "1"}], "]"}]}], ";", "\[IndentingNewLine]", 
     RowBox[{"y1", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{
             RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
            RowBox[{
             RowBox[{"50", "^", "2"}], "*", 
             RowBox[{"(", 
              RowBox[{"e", "-", 
               RowBox[{
                RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
             RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{"y", "[", 
            RowBox[{"-", "1"}], "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", 
            RowBox[{"-", "1"}], "]"}], "\[Equal]", "j"}]}], "}"}], ",", "y", 
        ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", 
          RowBox[{"-", "1"}], ",", "xm"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"y2", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{
             RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
            RowBox[{
             RowBox[{"50", "^", "2"}], "*", 
             RowBox[{"(", 
              RowBox[{"e", "-", 
               RowBox[{
                RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
             RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{"y", "[", "1", "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", "1", "]"}], "\[Equal]", 
           RowBox[{"-", "j"}]}]}], "}"}], ",", "y", ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "xm", ",", "1"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"Show", "[", 
      RowBox[{
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y1", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", 
           RowBox[{"-", "1"}], ",", "xm"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Blue"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", 
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y2", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "xm", ",", "1"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "]"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.7863619618590736`*^9, 3.786362137249324*^9}, {
  3.7863627012295213`*^9, 3.786362719977399*^9}, {3.786395341363348*^9, 
  3.786395438476633*^9}, {3.7863955143099537`*^9, 3.786395576776011*^9}},
 CellLabel->"In[13]:=",ExpressionUUID->"fc0cc577-df70-4c5b-a153-3f44148f3b47"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plott", "[", 
  RowBox[{
   RowBox[{"-", "0.6462500000000009`"}], ",", "0.001`"}], "]"}]], "Input",
 CellChangeTimes->{{3.7863953112746816`*^9, 3.7863953134020443`*^9}, {
   3.786395608436904*^9, 3.7863956096789565`*^9}, 3.7863956578699846`*^9, 
   3.786395693467851*^9, 3.78639670943946*^9, {3.7863967785975633`*^9, 
   3.786396780549303*^9}},
 CellLabel->"In[17]:=",ExpressionUUID->"24443b67-fb59-4d69-a7ac-3fa41414abde"],

Cell[BoxData[
 GraphicsBox[{{{{}, {}, 
     TagBox[
      {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwUmnc4lf8bx5WUKGRlZ+99znPIOLeWKKOsCpUVKZFCRSkhEhmhIaNSKVJJ
NreVvffe2SFUyFe/8/vrXO/ruc/n/oznec7rdV1HxM7N5NxmOjq6f1vo6P7/
WTJwb+7fv3mk65qXujlWou0bmKW88Xcen6TtUutyTqJqyI9fWf8zjx0c0xwK
Fz5RM28c+rMyP4+zoZbTWheLqW84t9AtDs5j2CYyN4NrEzXkiN+uMZzH6Vyu
ryY3hqhmWT7kqtvzeN83RIX99QKV7XSqV4XPPA5Xeh5mVPxJrafvzSm/No86
D0fPWmT/pOoe19AucZvHVSU+0y21i9S9syuH8s7S+peUeH//vUwVEvU6kQbz
qOGw+2y53Sp1Iuyyd8S/ObS8+ZvlmOEm0Mn8z0P97xwmWaUGjydugic9IW5D
v+fwZtm9vT2Lm+CI1GsH5bk5rIvH3wNPN0NacbdRU98c9pwP0w6YpYcrS/vF
2PLm8OV+T1nd11th/SRXXbjHHG7S7Wj+7bIDzG+/rFC7PId+h+Rdo+p3QPpr
pZLBi3PIevuD/GfFnXB2UT9LyX4OyygLd24u7oTSB75Jjcfn8OrqtoJzd1gh
qGjCg1VpDlcpkYKSVruAXTxPMHzqB5r+/UYKqeKEhOkz1Xe+/8DV5LMHxDY4
QfYzveeV4R94guKpu5nMBfuphnXm3T/QdT3B9FESF1w5OeQtUP0D5RQK3267
xQ3NoVu73qX8wFCe728uH+CBiF8mUeVOP1DV7s4gG6MACBT80c6y/4EZTxNe
jugKQMrd51Nvz/5Ao+aGzE33BKCYdVznwYkfKELdqJNiEIQFmRvzxw//wKUn
Lorc24TA+EyiwaDkD/xuomfUvEMYWCpntq59n8V/Sz6717VEQfc6stGNzGLp
qZtTT2xE4ZbMI76tA7NYnklfahUgCrMPNBTZO2aRIBhcTetEoebYfXPZilnk
3hpavv2MGNzrkUy2fDOLQYwncoOCxeG/H7b78h1n0Xhpu67eqiTMcnb53JyY
QaFnb6Su7JeHJn1xxkut07grKFvy2B0ydPJd8nFsnEab8/od+U/IMDDzde5s
7TQat+vsl/hMhpmww+0mZdMY9d/3qflhMmxtufBS/cs0Shf5xFgeIEDb8rPW
lkfTWKvT9pXEQIH3F6jucSbT6P0shnffXTX4rBk0Fm00jf4ll+ffPVWDnB1N
Jx4emUYwLFun/6wG39JtqX77p9EnbObv/UE1GFoMYHZSnUb9x82izZrqsNun
9rUq+zTW2NsnTyyoQ8CDkz3VzVO44vUiZ15fA6T6Nhgu1U9h8bZ6PXMbDaiR
f63CVj2FOaY5eY+9NICt4WewRfEUavPGf/j0UgPi2B6ojaZPYfXYU1/hVQ3I
iCmMXn8whdyHG3kdEjTBfNy+ODFoCscKZXbpZ2jCCoVpdr//FFq/oj9DV6EJ
1C6LA/e9p3DvI7L26Kwm1PAt/ORynsKoIp1WR3UtGE4UNVbSnUJ6PzVy3Tct
CFio8m7ZN4XUknCvgA4tkNzn9sZTewpZ2WL5t0xogctI/n/55Cm8ITZRZLFN
G1bEzdP0xKZwf6PhN+KQNsR5/u2cEZrCD7K9vlxm2kCteEEfzjeF9gL/GLPt
tCHAac6yfdcUnnS/NKB1WxvY3gdtt6ObQpvO+ECdr9rwZU2BYFifxOCIf7n8
pdpgcbTNJuXPJO5N8ocvDdrwfFY4Z25uEr13W1zmnNAGKaU8R5/+Sfx4bWn1
AScVam7bRAl1TyJjQOsRyh4quDRtLSppm0QLI26PxzJUyHA35WKsm8Rvrswf
fbSpQM2cLYvOm8SYv0brObZUCJ0vMTTImsSUYpfDw85U6JV93EmfMYk700nD
he5UuP5i38yVd5P4SPTElcg7VKjo4/aUfT2Jk2uCkkFBVODimd0YTppE2xjt
l4oPaf0exrIffzKJ85a+gRHPqEBXc/E5Y/QkJrW6FegnUcGYYZ9kcfgkKtqO
nsh4TYUEHe5P1x5MoudIKla/p8Ksz8xepaBJlFzisgr/SAWN7OKy8bu0+V7i
itycSYXgxRjDBF9a/eyVKtEcKnQoXOw0957EZINVp/l8Kkg469ju9JrEUcVX
HU5IBY9krply90l8c6PK50EpFUoHpz1uXprEhp6jeOobFdj4izdIzpPopl+1
vaWSCmcsYoJnHGjrDSoqX6qmQlrkBfZXNpNIl1xqWVRLhb918NzSehL/+LxT
U6mnwhFGLkn2k5O4rpVVdbSBCk8OTH+sNqXNd7zy5s5GKoz74l4/40lkq7tX
7knLRF50mfrRSTzEHcUeQMsBv5wNF3Qn0erQh141Wm5Rhs63+2n3Q8aP2Aja
eMIunLZnqZN4nHe0MIzWz+3t1DS3xiTq6BZVK9ZRoWikyKOBmESlrytKV2uo
sEMoeiNQZRKNZOOcLKuoYHnKOVhbYRLNw2amRmnrfRdNZf8lTTvfMXNV1jIq
rDRyPE8Tn8QxA/OiXtp+6TJPSTgIT6L7qvVO/QIqROsWfeQXmERWmZIkC9p+
j/o92tu6exJtxJL+0tPO486KtuF+1kl0SvwooEU7vwYSR+cq0yQ2psDPb8lU
EHSbtPm8dRJd/Hrf/UigQt73KA/hjQl0YDBd4oyiAqPI+Y3O1QkcTzoUz/GA
ChbW2sHhvyaQYfjA6XR/Kiy1TMRtzE6gX8yqddZVKuxnKZTImpxAhcyEQtGL
VIjQj/p4aWwCv3n885Sxo4J8sVZZX+8Exr8MPLDFmAref3cZRndOoE61a2jn
QSpUUyY6jrZO4Ol/TREHNKjg+CFyOq9mAg3cOveNiVEhc9LR40rFBKpKsSvw
8FCBXlxrQ6Z0Auf4ieOjzFRIeja+62nuBJKDjNu0F7WhJ0hz77WUCcxu2CW7
lqsN1vbSHteTJ9DKXDL4e6o2DFC5Pt5ImkDbqlfuV+O1YfjXnPjNJ7TxWPRW
PWnvg0n7l2x+wRNI//jbc1bQhgsQfvRuwARmjutxblfUhhm+m/f870zgCWYd
m1cC2jDXbL4eeH0CS6KZ83NXtOAXbJ8MOT+Blt+aq86naYEX/2/RUIcJlDSu
FHN4ogUrv0dOh9lM4DYGr53//LVg/UNBa/jJCWQNsdzBYakFmwUuY7TeBE7J
n3v6aZMWsK10xCZIT+ClosX4j1RNiGota04Un0DfFP7+J+KawPnx044XwhO4
1v83XJhJE3Y7htx9xTOBXW5XTZnbNECoTds1hXEC7zaP9BjZa4D8p+RDGZPj
2CyaZ/HUbS+kP4i882VsHD+m0L10Nd4Lyk6++ZlD48iu1HRpVHEvkIROqmR3
jSN9a51A2qw6aIQyCxZUjaPc5lNXiuzV4fD5K8vfUsaxvz7PgkNHDRzKCiYu
J48jyVOsKJ9bDe4KbevlTxpHU+09+b9nKVDUFlfi/ngcN5LLN0k+oQBl37eH
gvfG8Zmv1SnPKQLE+XhkPO3HsSaG4Tf1Ohno6gpPiwuNo+ylTvLNIyogJMV4
vJF3HO2sy9i8OVVA667JQW+ucay4ppYtOKAM19QnZJt2jGNcuGblqcvKMJfM
tuLz9zv+Sffa5COiBP237KNau77jSNtX9q0BcpCntL3y7qPvqFzw6LVfrxgw
y128eC38Oz68TN+udE4MrCXrWV0efMekuZkanzlR2BCIPGnu/x1Fdple+/VP
BPYz8U5LXf2ObamT29KEhKF2THpnvcl3LNh6o0fxGQ/0PdUz3c3+HW2lMh1s
VjfBf/TBg6kRY9hxjiopdJ0b16Z4RjJDx7C3WM1b78Ju/N34bqwweAy/Ra8r
zlnx4EJc7VTjnTFsuztNjtHmwxES6/LS5TFUXd9z98uqIFbYxzJqHR/DjyU2
vAIpohhRlqxSRyPkUxyJ++TfymDoO4LcvpPWz6+l+iq7LN4Pr6AMbB/DAzeW
egVvyeJdq0nNhU1j6FKdaPzwmBx6LMnpci6O0vJSdOS8PJ4S+2Jp3TKKwyPM
kV0Mymix/eDpcw2jOD/3tGeSUEaT+bazrjWjWEFnqRl9ThkN8n873CkdxWwu
weGsMmWkmmq4JWeMIikz0H6rjwqK+pf4z0aN4t0ZZreUNlXMn/xITXw4igLi
B4MPbSKhmVHC6vGQUWxb1dQyVSBhIK+PW7bfKHZ/GpPL8yfh5Eey1d3Lo+gr
sjgcIkPGO1xi3ITLKCp781z1O05GXp9dzRNOozi0l8Wu7zoZj+jO6RqeHcXA
qMwbud/I+KHvrSqP0SiWTf1TnjxBoO7+2B81+qMYknJWs9ubwIG3ASm3Do0i
m/BtHbF4Atmu2gqNao3izpFLnQWDBF7Zzs+ULjeKcODsnWFrCjK7bf9mIzWK
rtZi9z29KZjc9uc2h9go6p48qn3yMQXbE9t+XecbxfoPsl1bGimoTnk4fGD7
KApr/lbuIdSwKe7m899bRtFQWri+1FANnTddPPGObhQPV3vNLzio4bO6w/Us
KyNIGesK441UQ5IqJbhkaQTZfr9b2/VGDeseix/wmB/B9UD9pqN5avif3abc
7vERPDQv0X17SA1jq+avho6MoOjKsvz1RTVUVBxQhIER/OrzWTadXh1tVvOS
k9tH8MUzfNMopo4rZ96dPdE8gq+/m3vmqqpjZPljPqb6EVRNOf2wX0cdS8M9
ItzKR9Ct4qZfs6U6Wv2yOypaPIL/yRK9iY7quGx5fGt7/gg6Z8X5vnZXx9Bi
KAnKHkFTUM8b9lFHCUnFmxpfRtD+8+UR00B1LHogoPYjfQTlrO8d/xumjhY/
mRYT34/gwL5HTp0x6jhvsZpm8mYEz1y+FzLxXB2DCyacGF6OYIbiLUm5V+oo
LNohmhM/gi6yyekvUtQxN6i8/8LTEaw2to0/8kEdTX5kPBGMGcHJx0c9JD6r
47TJC9OmiBHECtEClUx19M8JZ/EPHUFmmcotblnqKCDkW00Ej6CZicr3vmx1
zPR3CZj0H8HeHue/3jnqaDhlCXG3R/CJoN+sHi3zzNukPvYZwet6S+QztPqx
Zcfd0ddGUMlrvaDwqzp+WnPxj7g6gi+PSB51+qKON+muzoe6jeBxb0qq5Sd1
1Nt6w+r+xRHcuSSd/jhNHTl33K4MdBrBgi2yskK09QztCiTdtR9BzpCItR8v
1TFt94NE37MjaL6r69/WeHW8LhjJ7GM1gkwMcXucY9XxoNjja9dOjGB5W+hB
znB1ZJOJH71qSjt/Po8zjEHq2Kf4yviy8Qg+n1a0O+Srjinkd/kuR0dw8SXl
SK2HOnpofJRyPjyCRwtFdz+7oI47dPP/2cIIvtKMu8Nupo5dR0suntEcQfXZ
eq2Cw+qYfLyy01JtBG+nCgp+1FBHrdOtH02VRtAu0qj2spA6Mtp38x+TG8Gf
P2MmgVUd284PBhlIjWDsZEbVyX9q6OIxc/bQnhHUsXL/dL5fDdW9f9bu4x/B
dMoaYVOrhlvu/FGj7h7Bu94c3i9z1PD5A3o2NdYRDP2te52R9jzUvuQvlv43
jN8+mwk67KXd7yki8hJ/h7En+7hOvoga2qVLPRH5M4zvdlpK22xXw7Vc0mW+
+WGsFuvWjOmgoGzzUeEdg8M0//3pln+egr87jocy9g7j+nJ0ZPhRCpb2nVjZ
0jmM+R8O/PdVgYKWk/ZN/zUMowhvvtP6PIEh/3zuzBcNY5IfS7m/C4EWDHdn
Z/KGMZxNXn9Dn0BR5uCTk1nDyBPHJtAsSWAed7TycPowKtOrCPkPkHFaIW2o
JWEYzQvDV1V0yahv3aeT5TuMnHl+qs/+qGLGMJyz9h7GmXGVRr1KVeRzenV/
s9cwljWktR6KVcVp9wstRpeG0SdH4riKqiqGBK3YT1gN44HIvdvXbVWwJoMz
iGcvbX/k3/Y0HVLCI9sN672XhtBVuvvlOzcpzHj46afw/BCOaZzjbJ+SRD5O
Tu7K6SE8zaPhLGQvidNCvWc4Roawq4ZfWshUAkPIzgupTUPYITDBaiUjhjVn
Azn6PwxhTsPJI58dBfFIVuEpOD+E3K3jubvCGfCM5LG+Vfsh3HR4z91/GvTo
HjtyJvPsEMK2yk+K43T4xGubg8yJIUyTMze29lwpGqccd+XQHcImuwOcDb86
ivyzx+5OiA3hhHmmwZXP/6jX3Xef3IOD2BEpUr5szAeJx7VOR2cNIucHYkre
jR8qVGzttqcP4hmHBPqjYQLAufjeZen5IG7W1C/eXiEEn69Q/Sq9B7Fr09g7
0WgRmL567r0bZRCb0kWfFbRIgJXXl3X8MIAySPwoeKoAk7HbHKpeD+Cq8dWu
sS2K4JVtVdsUP4Ce5o/e/3ZVhKgV+mfDYQN4+t3WF5WgBFXeZmr0rgNI3LPi
7HRWBou4lARmxwFUfa0g1fNMGcby1xk4zwygnW2u+v5aZfi3ntwmbjSA9j5d
qXtlVYBy+5e7ruIAWotevRI5pALlifrdRpID+I/5xkzQDlU4Xhyvc0JoAF23
Db1oU1MFl026rOdZaN/XNK50DlWFV/6xaffn+rG03m877fcTlJOnOaLG+5E/
edSr1pQEReVUn2cD/fjMSjs/9AYJehgm9FMb+rFjhSdytJQEbMFqE3Xp/Uh9
KEafY0CGhJQHRu1v+rFArCfW4BIZ5KoHv/Yn9GOVQaKQUBgZdJmCA+Ye9qPo
p/dvr9SQoU22b+b3vX4cdr/HtDRBBrujyqb/fPuR2bBJNHULAbdCu0TY3PqR
bjXDq1CTAKYP8vd5nPpxouqzNpcFAU/q7ywIn+3HNkp+U6IbAZksMqhi3I9p
kmVFekkETEfcsDZV6sd+z8e1tX8IuP65vsxKqh/70pWT4pgpwNAiIuewpx/l
nz5aixGigDBHzaoHaz86GF6N2rqfAukkIdtb2/qR47rkVh8TCmiZXakK/NeH
Z8TIXtx2FDgRw/c4dr4Ptfbu1kBfCox9dd1ImOhDZ0fdPbUPKHClo/Tc28E+
5LnYLfz3MQXo/nDXf+zsw+NjPnFGryjwcPdFck5jH87+vvKz/AMFBNQxrriy
Dy+p690/nU2Bdyc56KuxD020gut2F9P494bThebsPsxm3y+7VEmB8qf5zd0f
+/DZq1ih+QYKhOTWvCPe9mH5lURqYDsFjnV3+0Um9OHmFslbHL0U4F6dPPUj
pg/pH36xezpIgV6eFRX9sD7cs9cngHuUAknq25heB/Sh7oby3ZDvFHA8yT1C
d7MPF6+20f8ap4D8dYk866u09bjdyTafoMDiY3JUzoU+lPLxMk6jXc/JPnCB
064PKfxyQStjFPDtNNl/+VQfXjuxoqAxQoGDf2z56o71oeDev5LuAxRg2u2+
KKXXhwlpcY7x3RRootyp8Yc+tOriWChqpUCsRfjLQUof7rv6p6W9jgLWXgne
mop96MmfLz1STgGR2A8mjyVo80vTZB/Lp8D41wLZJYE+fBhy6GvvZwqktddu
Nubsw66Qcs3qN7Tz+NXT8565D+WjBAfSnlFAnWs6Yys97Tx2wPS9MApskFdD
7NZ68VTR45ITt2n7a8ZoX/SzFxXzb3TsuUzbz2hJDq+hXrwmMlbx2Ii2n5nE
THNnL240/C3T06JAX+vBMoXGXoxW99NakqaAE4f91e+FtPwhXVztHwHypCtH
932l5TydpeZJAhZN/MTi03px++/tTM7NBPhGJbaaxfXivRMCyeGJBBzMSE/9
FNWL6UQZt0gg7f5vKfTfEdKLY+8YUzOcCYjZ1Ucqv96L5yWt7vYoEZAWwRNN
suhFK43QK9afyHDlk5RLuGEvTlqsvmV5SAb1JsrBmYO9mHWVPrfmAhnKWc2X
X5J6Mbay0tZRhAy9DyPN2Hf1YkNl7rYT/iRISk+Sd2XsxcxL+TL+p0jg2PBx
S82/HqS0Lvz8pkiCxZ0NmX5zPRg6KjMb26EKTGFMXD9re3CP4U3ReH5VUH/g
3954rwefz5uWM99SBoeZElb07UGMb+Ay1leGiKN0R9K9evCt/yWO75zKMMV8
qyjUsQdrDsZwi5opwbNQr7f6uj341z5h7DDt/fpfmPONMoYe3P5yUNhmSgZK
I4wFswO6serYgb9DpSIwtxB24s3NbjTVd3QR2SsC/MfrImM8ujFqRWHtdbow
eOzS3+rh0I2iB9u0JJX2gETU/nnlg92odPrLG/0yPgh+RJS8p+/GtwHuFp+y
d4FhLP+5hLtdeDk+P/UZU21Rxi9OtuEbXeixmhXBMTxUxG3Oki/m3oX736ec
Sd6YLhrk2LTr3dkudIiXW3v47E+Re+R4wRetLnSNoedRH2LAmNDPnNW/O/EO
p+zBxVFOXJt5j8xznajwkXcbCHHjmaPJF4y+d6LQsNiy44ndKMX0uLi1tRPL
ZBJttlXw0nj1psvAp06MVliuLo0Swv67h8uXLnRibGNf/KY5Mdw/ouNGsetE
xcaHH9R9xfHNPg2+G6c6cX6Fev/0Tgl0o1O4vHG4E8fadZaPS0viJl92ge0S
ncjNKfFr1zFplLjRf1VosAONmOMDb9vIY0hXh5BtRwdO9Wj48vTJ45xaU/Wr
+g6s36wuJmehgNm/S/fIFHSgQ4Ta15eHFFHfI6WW9LQDtyuW7o1iVMZLblfF
9E07cFDY5JDvexWUTq4JyTzSgY62d38WdqvgWJfI4p79HZh4u/oBO6MqWu9v
Kv6t3IGNk5xOC7aqeIRL4UwySwcuquYSGkwk3Hok4Bvr1g704E/92KdCwhLf
Xnmf/9pxOea5qN9JEqpP3v97fLYdAwSbL1W+JKFk/viTf9XtKCv3+TurHBlH
5rXpLpa048DVl3bBR8gYLx7j1JHTjiE3bq8tnicj58MDlA9v27GmLOrT45dk
bCp9Fs+T2I7jyvuCGwrJGPrn55aA2HZMC6yeWugkI71tUqtlYDuOdRN8i4wE
FsX80ai4SRvfN2Wmfg+B3jVGL1U82lGM2fZ0OEEg5d/r7fEX21HggLkkcYTA
RdJ/lxnt2zG88yxb0WkC08+bdV21bMeVqvRf0pcJdI5PhcHjtP41KkUefgQO
bbVkydJpx/QXP+vfJxH4XPOzp4h6O3LJZLI/SifwxGXG/lClduw740Y6mU8g
++uzB1ck27HyuKXBagWBDd1ZqfZC7VjN+/SRZzONR1lYOBq52vHorK9FXQ+B
hw6c89bY2Y6uZ0J+r48QSHe9YPj1lnbUf2s7vnWawII0Dv1d621IjDS8maLx
7PXhC59uLrUhy/GCsuRlAkncpbsnp9vQJ0G5WW2FwLkjvLdNR9qwidfg/Ms1
At/fvjxe1N2Gb+pTpMf+EuiYWWko29yGxtO2Veu0LDol9DWmqg0DvyvxztLq
BwS9BDYVtyFbigpDBm28pyb1/i7ZbcgxGfDA6BeBZkHiM53pbXjSf6CgZIHm
3wU+JgfetOHTbtEc5hkC6xZactPj27BacuON/BiBwRKyInwxbWjdfzNPvI/A
g5Z+wYGhbWh6M11quYXAfw+75hf827DN/LhsXBWNv8uUTlj7tOFdyzRuvkIC
vVbuFVVeacOD1qWn3T8RqKowIEG60IbtQV/uv3hJ4A9bIizBtg2hcGNv6iMC
U2JDl7efakOLydI94f4EOtSOWnkea0OlU3RrhlcIFKbTLBs63IZRAj2Rk2cJ
7CVHyRpAG14z68w6a0CgSYLOqqhiG+rOWayMixDowVFZKiLZhv1+WPpgB4Gx
wYahwkJtGO4yyET5TcaeK5Z7hFjaEK9ljSVUkHF9YmhSYGsbfrrLH3j2AxmF
Tjtl8G+04sDyeJ7MIzLaH/Y4xDvXinWOa26DVmS8V7DGwjPeioqh69r1VDKm
qPh1cQ+0Yhvpska1MBln+R9e5GxoReWr8H5hmIQeC28jWdNbMVNy1xnxUySM
PadoxfKmFTNe32l4RyZhTk+m+M4E2vhOP5n1WUm4Xl6SzfSwFa33hnr1lqhi
wNPefgbXVpw/bLPrtoAqxuxnlV1XaMX1qFPpLu+UMSc7ZmlNohVTn+5Zdb6m
jD3yAoWrgq0oXv2VJ+mgMgrtljn2Z2crtrii6Z1cJXwzs99r8UcL3khlVpdm
VMSsaK/SyQ8t6Okq7PDQTha7xvst2xVa8KXIf7JhqqKoarUnRkqiBRfCzE4Y
x4lgaKNN4w2BFqSvDeHgpBfBfTmjB4SYW1B0/qvow8Q9+P7+lLzTZDPuKXk+
c7uQD2/K/9pYedmMnMKBL62/sqHwlR2vBHia8fa1a9qnreap3uOG/a6szchd
35da17NMbbMM312ytRnlq0o08rauUe8fYA8996sJmezd+WfkN8MiJ49neksT
7m0znT1zZQeUZ4sd1glrQqmvjE21Jjzg/J/GjP3mJqTeNE5Key8BZg4nWB8t
N+LOSNbS3cqS0F6vrndmrBEV/9hsdciUhK6kv7nLZY0oEr0xE5ArBQO6fvEi
/o248CPoo8JXGZiJCnXw2dSIry5VH/FwUQCX9Uvxuj8bMPk6F+9onwLMnTPu
2DXcgN4pe4PqjyrCojq7XkpxA/ItPGXYEFeClYHHcu23G7BUdJsGj50ybJF7
tai4UY/zv/mJ510qcC86QG7tRz2WbXp4+SK9KmzbOOfwrb8e3T/8ZTZWoPFC
s3SHVWE93q8pennEVxV2XUvPDb5ZjxP3ais7OUkQNRS+aOpSj85ZOQYs6iTg
POIut8e6Hq9lGCfrWZKAR5Ac/1WzHkfOV8eVxJFAqCz3zshaHVrwbxaMYSdD
knxc7ofpOuRXaBHOUyDTePHm4vWeOly/uPa6/TAZxJ3BgTWvDtUOJV6bvk6G
Ny3C8T3v6lB95x6+4XAySGlt7nj9tA73i74fq3pNBlnWb4e1btShcVPdEacG
MqRdf3Nnm3MdurXEpvEPk0FhJCi35WQduufcKixYJEP6UefFeL06fLP+xlWf
ngDlr0fknNXrkOWRYX4xOwEZQvIOZOk6tPf6kiUiQgA5eGf8v911+C7lSOhF
RQKyfs6112yrw3SdspvxGgSoWTWxxP6pRZc7PL1ZhwhwdLtUnDFRi0V5s9eD
jAmI9We60thZi9yB5ob6JwmoePxWbLayFtepIl1/zxLwO/VgO2NOLaof10hM
cCRAsnj4nkRKLVoxbZJXcSHAvM1Xff+TWrTeMN/55TIBAZP802eCa5FZO2Zc
zIPmV+s5cT7Xa1FONv6qvxcBY2wWhk/O16Kz0Fpg8zUCOCWWNjJP1uLXi4ub
WK7T+HVvxKdmvVpMsY3qVaddv2qoYDenXovDx3M4TDwJeGlbw8EsU4sXo4W/
nrpCQIun0zcp3lrkDXVvNnYlYHPIlmsHt9fi9+eHfck03lVNeCFtu1qD9FVh
rdvsCbDLoPbcmqpBplWbP9VWBERV9D541l2DnhnJMj6mBJT2XNfOrq7BFBJr
Kf8RAn7Occ235tKuD8/JpwEBwvRfkhbe1eDH9PkJeTIBx3YfM9n5rAZzAoZ8
E6QI+AQhX3W9a7CMLPjKgpmAIVMpJ/sLNah99o17wl8ysJ0v57ljWYM9m8ye
dE+TwS1iwydXowbjqWWf5StoPpwcp9AhS+v/O/6AbgYZGnLUBxf5anDHNeKC
RTwZFIev7Jf/W42J9RLPzlwmw5lfrMt6M9X47+6XrpMnyfBw+4fX53qrkTH7
IasRkOGHygRjYn41DstaCisykUFANyAvP7Ua7d2pVvxzJDCwFHHpiqtG5Ja2
YWwmQdpdq8ZdN6txszKn6cQjEvTFrtxRdKnGn0se2n1XScCcGqN61LoaL/4L
H+0wIcGF1saYAK1qnNkvuGlsJwlkxA9a/1mvwu8roqJh11XhpPrwTs4fVbj1
ubnB4DFVCDbwReX+Krz9I13wkLQqTHrkiF4orMLnnAX1pm0q8Oab/FTfrSo8
l/AuIFdEBcSduLxKNyoxfcd4hI6UEpTfkN5+70clmj14Fa3/RREcQjWf6/dV
YlfjkRJfbUVI/mxb2pRbiX3DX/7dN1AA8fUPLIMelZh0OvrNtLkcSETqvv07
XYE7fM4VHxOQAsn8a13kzm+oaZRxdMOOHyrqQy6ufPuGG2eT9Z6I84HjUPxG
fuY3zDkqcTRpjAfeMJSLH4j6hlHsN7t1bbhB6hib+3HDb0j/y+8Ik94ukP6e
st21rBwtzDoKPd//pcqw9mi8/ViGWyfGvj2eZ8bYl0ejIhPL0GRqcFLsJAtu
oRRO+YSXISO5j/LgLBsOWCc9OeZWhum12godZewY9d7x96piGbbM9rxkvLMb
1w4tfTZIL8VN8iWuV62F0anbYbtaQikeu1j75dKsMLa5dNiIPCzF1591Mu76
iGD6o1zW35dKUU1v0WwgVhTth29fSlQoRQGeGIaQEnGsu7lDZjGtBM8GSJoY
DknjXjbfO33PS9DUsN741hkZfPNqvrMitASLuv3DzHpl8E5Ny704lxLkE3vA
MdAkiwTP07GD8iXYfPmCw+v38vgylUlLSaAEqU8ibpwQVEA2uPmIdwctr1zb
f+uhAk6fO7t/bqYYdz3YUsXsoogJXySSHqcWY9CyxKXK7crIfPjxH7+4YtQP
jqQ+11LG6z2Mxi4PirHT8nr6I1dlNNk0+5/OxWJcur9SOtiojNuMM6ymZYvx
0sKmS8lBKugxIvalja8Yzx/r8j70RQWHPWOYkKkYtU1bmpf7VfDa3p9XpNoR
Pc9dUPZUVsWhtluK3maI+Z9Ki7FaFeNWDJKeqyCeUrfND1lQRQsBAXZkQdQ8
W3RXgpuEdfZ5v+iri7DbY7K0+DQJg4LuO0m+KcLoeq73BbdJuD/1ZLeefxHW
GTGSbifReGbxd0GYdhFabzq2ZDxAwqvcFYqf+IrQiuO3suVfEipqxCS1/ClE
nWx3LrHdZEz2IwXszijEwI6rF6dovnH29ebfe8MLkYdF+MaoHRn5qpudrF0K
8VAci13MDTKGs10++kKyEAd22uzhf0XGI2QoLKMvxK0NhMHsVzJuOcmiND5U
gHNOvutulWREn/4kxqICfOpu/CuZ5iPeiWnscnEFOJXKyhIyTkaizCfA8HoB
dinc3ye0TMaF8SO/3cwL0HF4OtWGjsBUJr7zUaoFuHB9MvAYM43HFae6M1kL
cLt1z54fnASKmOQc7ZzNx6PR/X2EIIF9nkGFq9X5qJK3pCArTuDjpxZKAm/z
MTNDNKxahsarhRIvqAH5eDVlzptDkcCdw8vstrb5KCD8PHybCoFVW8oD/Kn5
yNCpfP+1KoH+0o9+v+bPx8owv8M/aJlqYHe+aiUP2zO7KwZo9atuKj3T7XnI
xPuKz1uJwMxHdAY7v+QhROw8j3IEumU3FipF5GHf66yhdEkCZXsTlEwu5eEg
yaxQT5jA7xuXXngcyUPi7zftMB4Ck0S1OR5L5eEBXx28yUqgpe6OwNwtecig
6vhtNwOBXBd6f/cO5+JwueivM6s0/wt7f36jKBe35dOzms6SMeTzjR7h57k4
yBQ5tdxPxkPtegYHbuSie+7ri4cayEi3urvonEUuVnpV3TtE88V8gQmlYFIu
8pq8Ufn9noxeOlkv3rPlYr6LrcvJxzSeDjILnK/JwX5FYSrFhYxvU8X+7ErJ
wYtBnf6ZZmS0a6RZaWAOjpwwT53SJGMXd6TBDchBB0k5httbyfhIw6YoTiAH
jbTyg0emSGh0Rkm5aDUbn0QvB9DXkbD8dT0HfWY2MhsGzgSEkvB29fNAichs
7BCQV5m6QEKNHxf/HHbNRslQx2R2PRJ+IjP1hkpn47qBomDRBu35KdN9yR2f
hYqOLpfyTqtihlYYQ593Fq4c8mu0IKlizdfW8y9OZuHDtDr7jm2quPLWRkme
Mwtzx20f3/+ggmah3gX7HnxFG4GKJdZZZbzIULJnm/NXzNvUZMGZq4x3fbf5
1+l+xeheZwmOQGX8fDla/8Tmr6hj6SKwg08ZWczTO1xuZKL1NylSyGVFlGhY
3qt6IhPTnsi+n11TQK3DmvF/yJn42uRVyg1/Bby4t8r+7sIXPHO2ZVA5XB6r
BEcWHjt9QRfxtNMjkbJ4d5yLucw8A9ekRPOUj0ri07PWrsGkDJQ2ndXszZfA
T10vmw13ZeClDHk7ZTkJHKxRetJV9xkTWZ7wbTCIo9ZHfYm5A5/R2JT5qeQH
Efx17Rbwqn7CldOJurGPeLGJvWZiQCANOQZW+T3ol4tUGZtxS38qHhMXFP+5
b64o5r/Ox7LxqbhwT/WJtc9YkeXk98NegqlIF/fCo/tSfNFY4aaUnULv0a5p
o/cSzxJ19fze81p7UrDm3NgXr9UdYH1GR8du8C1yuk5eu23LCkWmh3mCE9/i
g+o/P2ZH2SCAal7Vuuctyk+IzNw+zAEsnO7SF4Xf4AeF09eKNvGAKKZMPhVJ
xhXLR1z7nglDQObHYhx+hQshZiuFMiIw8S7ryfcXrzDviPoh4xwRSIsu11MR
fYV13+3jI1pEgXJhKKVK9CUunoo6kb8mDke5eJz/iCWhnqvHAV0OGbDiot7V
qEpEypZhp6gIGRCmM1C9p5eIzea5Frd3yEJqu1OUoH4Cntods1mETg6K7ySa
GBx5jtFBqQ8a2uVhqoOl9Z3BE5RXZj/0hU+Zxst1D+VLH+O1qt2+vMeV4fqj
kCMf1R7j1Penm6/fUwbGY1tLM0VjcfNF56Nsc8ogXf0f7TAeYZbg2hXTTypw
+W2+y37XR+gmkTAuPKACOYE3pL+NRmHSysWgeiZV0Nv/K7GmIRL3Rx4eyLFR
hSavbsFU/XCcyFcbCt1QBRuSecwn8kN0DnwrzihGgoX5ph1Ze8JQ4GYjg5Eu
Cdicq/4W/wrBWZ4r0cr3SZAkcfBqxdB91PERmqpKIYHyCE7X1gaj/whqi1WS
wNgqu7vjxT18sOOKOzcdGQZ2k473hQbiNr2h2lQ+Mri2pVcNXwvAljIfznUS
GTYiZHUm7Pzxtc1IKoMBjQcN32TPGt5FkTNZaxV2ZBBiElVaVPfDipCLt///
/5f0ivg3f8Tu4Phoe8+FUDI8vy0rx7Dsg4tdHUr9n8hQsCLCx1ZzA9N3FS4J
l5Chz513O3/SNZzYF83L1USG9Wm2FQkvTzxa+CE9p58M/A6ME8oGV3FHoVoV
E41vNfv/tWuKumNesPp9pl9k+Jo2dz9s4RI66ShRsjfIsJzQ7/TquTO+q94g
2LbRfCay7lCu3jl0aB3ZwcVCgId/vljjsg027jx94hsHzV9mzOhr9p1CPzvR
b8I8BHxvVMVfT4/hLXlGTil+AiKa988GVgGmn1tk6hIgIGlUXvRU1lY4ROm8
ThIkQIvBiY8lfz+IHpw5vJd2fU+C+XErBhOI8hALmuKl1edei1H6YAkHPt0+
d5CbNt503azfe1vYzvdJ/sguAo6v9LO4bJyDl4fyNP8yEcC+dV7ZwuQC3HBN
2HSS5mstHHSmOm9cwS19/Y/NGhlqIoI1uG65Q1PJ8wTuBTK83x15lOntVWg4
lH/vxhgZQhKeWv9r8gTLsb5zIZ1kuCDx8tLy2jUwPNnFcaSaDEfS3vtOiXvD
/eVjgbm5ZJAjfQkfMLoJi9+UK7pTyLAjLz+p9bovOH8VXU6NJYOX8MhJh+N3
oPDdjr0q/mQYt3ccPuPoB2xzPt8uuJLB4u208ymfuxBHyDWeovkCRXHJ2+h1
ADQ3i5SdliZDh0N4Yd/bQKhfNFlUZyODZ5wc3cX390Dj3+Hjq79JkMnoEBj0
MRj0qc/9lEpIYAp0VVwZ9+HhsoVTSjIJFj2fMyVnhsAi86+EHUEkUBltCy/O
DQUfi0O+8XokaOJ1bzEqCANe8axz9VIkuHxsJ1d/0UP458NJmmcgQeeAaP26
bQTwSVT/x4qqwG1gZcLrFAVH+tvk6CRUwdHp3VWbySj419a9beWvCmTd/RP9
1vkR6FoEZy42q4B57qNOwiUakn7lOa96q0C0ZJ21iXss/PePuh5Wogzsm7Sd
Hvg8g7kpOTMLXUWwE3gQ3LL+DELTt3Js6lSADLXud7y+cRClpXpwm6MCHHf1
nH175zl8hwZ/uC0PEb0f3MsDE+D2W7nZ3YmysM2KtWjj8AsY5WBq03smCYHE
nSo1k9egmzBhu9+eHzyeqHvFRL4GM5vO2tdafODwd0Fsqek1bPzbUveGkxf2
l9jeTjd+A6uttQeKi7mBzvAARcLwLRwnKapsZ2YHb4ettN/Zd8A2pLA+MUMH
ro9Cb//Q/gB5+SUOpBYGPPP7oMLRWx/gqPC187l7GdHw1H89KQUf4Mg2iZqV
RCaU3+NKcdBMh47oBhfR86w49d74R4/6R1BkT+tscOdEVdv7CmNPP0EYuexU
zldBTLtuENccnQEes6OizN5SeOCD1kfV7Azw48klRTBIY8+wfNmj7gzo4M5n
fRoujYxHd86YC32Bo5p3rDgTZdBBsEGj5+0XuL9Vr7jqvRz+PV5kpFnzBV4d
aY3wl5HHqHvpds9nv0CQWcY2vzfyWDz/MOSMSiaoHqLclohTQP5S456RvEzY
8MzjPeiqhBm/Ye5AfyZ8T3a4fWBACfXklDe//pcJjOeLPktIKqNXNJus08Gv
EGNqsFMhUhlbHJtvzNR/BZfGDYlBSxV0jisJM1j4Cqyhf+TfhKggXdPnFx/Y
s6CmOtb4ZK4KKu6NqnY7kQXip5lKrnCoYgizKe/yUBb8jLvPSeSpoojOAQVz
+mwIqYlx3D6sijkepH1ZEtlw9cLs5sytJBzv53C+fiEb9GxKNfyNSHiLfcut
7tBsOBhOH/nqMgk5Dy9HaHzMBkrwxcTISJoffGrLWV+iZc2XjQ2NJOweK687
zZ0D9pXb+fl+kPAy79ehIvUckOy46Ce3nYwJd2MY/W7lgHL/MfFn2jQ+zw4U
GEnMgQc7d5ovm5OxbsZT+UBpDkTMZNxhuUTGNTOLkwzbcsEwzot0i8aLkfd1
XRxlcqHOio+7kcaT0kWUO5VHc0H08oey3gKaDyxKRku75kJkhz7xsp6MFlK7
U+5H5EJFVexNERqv/rDaVjCdkQsFQhJ4coaMARF/Go+250Li51qVwytk5P82
MZr2Jxeyi+g5Z+kJzFjt/LOTLw8uFcym6rIQqK9YxeymlQeDN2qMLXYTOGSX
s6fpTB5oS4dd49tD4LXHKSQVvzxQSPfJj5IgkKXuyeGoV3mg76TXWCRL4Gu6
+1ZL3/LgnIbErQSaH2gRN9zMJvNg9GNnkgqN91ucnf2/MuXDr231otdpPuCc
cOoxt0I+fHQjLbnTsmNzqKisYT5s3R4gpkOrt9tS/EH7Uj5IfUwrmqWNd1Zt
Sf14WD7UNH+Zu0bzA+sLkuUOH/Ih+WT/8jDND07FnzK+Xp8PJzV2ScqJEGjR
FNrz4Ec+OHPsnzDlI9CUvvhc4s4CkClsfWfNTuAxytJChkIBfB7bNHloO4GG
zpI3KwwLwChvvwjbP5qfPT+1redSAQz5HOnKXyKjbmNo1I+wAtBzbEvSnyDj
gc3FgpvSC+ASsSyT101GHWIphbOhAOzeF2my1JJR67wkWXquADydyZm6+WSk
NIQeMVYshDN/ddLOPyEjaVNxu51RIQiYZ+01CySjMnnJxsu1EDpKnQ9Iu5NR
9tmpa/HphcB7y/Xgw0NklKoP3fy5oRCGTljdElUkozhdcVj5XCGEjIiVvOIi
o6CjZPKMYhEI/rpXdmWYhHxPTyn9MyqCI7lbrpZ9IyF3XWgeu1sR5Jeqb932
joRsqktNez8WAYeZpf8lFxJu2cD/gpQQZDa/+G9iXBU3qSwFxxkjlE+KBv0r
VcUNe0nOj24I1BCRsd0JNB+oDpXt+IiwepfrkOlxVfxdkybHzlMMBu0HBVXT
aH7voPuTX7oYfi38aAy9o4JL/w1mSagXA/twJO+aqQouKHPs33uyGOy2hj3h
WlHGqdgbJ22eFMPO/8wfxRDKeF6ZQ+hCSjEM7FiIqd6sjOPVaaNXc4qBjn33
Tf0EJRxZH3QN6ioGf60fIdk1ithnpxuYzlMC6XJW/RQ2BWxS5MhYf1IC60sq
YQymMjhQTYk9+74Enif7HrxSI42zDpbepfkl4CH5kGKuQ3s/xr3YHzxQAoeo
zFeSpKRQZ5tyK4d4KZy36/io+10cPw8aLMt+LIWyte6mFnFhjIq4Rzn1rQxK
dol9CRzehkly7/kKOsrArfamkdABBkyvqN8QmiyDhVihSqdXm7FmnbNyjKkc
fpYYNjiUrBXRO786cflYOby0mU5+GtNR5LGv+HpQbzmwi3jEaBzeDOaLq3lf
f36D6OFyktM7QYjdgT0/N1XA53bdiKImIeiSDFhTYK+Aw4fDht1/7wFLKxaN
N6oVsJ86uPuEkAicKRfNjb1aAd9DIg6dPyUGjrFHs6/9qoCaOx+yrJ9LwdtP
bJ1fGCrhO/uHvXZ7pGGypv33PFclbJ8K1xN+IQ0X/p2lnKdUwlaZkuX3STLg
et7j68lrlUDltufWCZcDL434L3tXK2HobCj9sLgSZJvZtXpur4KRZ51ZFyKU
YMVVaukzbxVYhAQX6K8pgferz6qyGlXQ2j7JfsNBGXx3VHzm86mCc2GJl9Kk
VQAlHzRbPKiCW3vuJt48oQJ0+479jIqrgneE2Xe7QBW469mjzFxQBbN72C+f
p/F+0MDcx7/rVSAS4c7LG6gKVStfGtV2VsN4q5qMVZoqMHHcmL8qWA1rA2bf
X7SoQuhheqVZ7WqQfU+uJQRIUG9bZSRtVA0xDq8MbwMJWG6GuTqcqYbEihvS
FbYkiPi0O73PtxpU1/noDr0iQXNNXz1PeDWI/dgbf6OUBOzfX/wwS6yGW6s3
x5KHSBDNK69Qj7T62Oth3bxkaCf9NNjeVA0mgg4yQ2QycBtluRwaqobLPzgG
Oo3I8OSuTlohXQ3QAzkk5jaNFxf1TVPYauDKlYvXpmLIUGRruhYlXAM+Hlwn
yalkGNNx1DuvUwPCp/i3pLaQ4dont3mTYzVQOXCYsZ3Gp0zCN2K1bWqg2Wzq
4iKN35X+PRhjv1MDPzd7W2/hIqDUNebBf+E1IDN+3v+PKAFmAwmqk4k1sMnw
wN5eJQImDFO6Wz7WwNUBtuF0TQK8Cz/fKcQaSA9sX3bXJWCnQr5USmMNJG3/
RC9+jMbfz8sbogZrgEgaTy8/SQBpR4PnrfkaeOS39MbUhoAKn06B8/9q4JhP
ZEqTIwGnZobKTFhr4aN/1Q1NFwJmLacvaO+phXqDtfFHlwm4XbO0S1qpFo6J
85d0X6XxusZ/OexQCwtNpIkdXgS8frfV5j+jWpD/fddY4RoB6rxs2ybP1EL1
uXsMmrRcE8yb3uJaC/sslyUptPrTK6Lmhb60/DlzSMiDgAUn+fW3D2tBULLn
4i9av7udxKuohFowCI1jyqPNh+swHLmVXguU7YYMl5wISMnS++lUVAsPmuXf
stgSoClp8sSkoRb++PscTDxFQEOMFWgP1MLEqLvenuME2DKcG5eaq4XVxxQi
/DAByx6uYewbtXCuw+/FvBYBQWPXyP/trAOTXfso+1QI4DPz650QrAN4pZEW
IE7Ah7KQuy0KdWDl87k6j+YzOqRomULtOpisZrQZo/lW68v4preGdfA0zUl/
8woZHNnfXos6XQc/e6wduSbI8OBn7jenW3Vw4OdYvVApzR9ty1xMwurgi5fF
d+50MnxqquPQjq8DRZdfo9ue0vzh46Ate2EdvEngkO++SAZRV4aNgvU6CF/9
FHeageZ//Syv3+6oh/uonaczRQI9Qx6DKIF6MLy3+lSqjgSu8nLPnLTqgXOb
wq2t4STImz5GYb9ZDx16EZdJ20lgaGnZv/6gHsr29LWc/a4KQ9X2ARNx9XD6
9wuIL1aFre+8Wgry66HklYS2qYcqHHd67ur0tx7u/VCtHWtSAY8uJXLqjgZQ
5uj5KfJSBWL1y1bnBBvg9Dy99akrKtAnNx3gpdMAHTUsMaWsKuC4oBYXGNgA
v7RFqW1UZfC+0Vr5irURlh6q7Lo9LA/Ppx3DJoQbYeGRmhjJUR7Qas1ETrUR
Vg1O3js4JQdbqCIDGWaN0O2uH/18WhYebnZbLnnaCEyH9kv86pGG5kOBbAu7
miBCJHhO6oY42G0YLUXyNcHFcIXUYxNisJzF00ESawJCTuOnuZkYcEunxV0j
N8ErHxNjHjlRsGZqlfxn0QRT3zaf736yB8YbhLVZnjcBq4HH2p46Llg7UeAs
L9kMOv1rCjrxHVSJJotpDcVmuEPprnT/9Z56TO/nBX1KMyQdG5TkK24seq0u
6eKo2wzlFq1f+RVmio7xRrgmOTaDScWV8EEHOnzTY3+V820zvGml+8HwdRc2
m2wsiX5sBtd560KWEXZcr3nioZLdDJ+f6ITKsXDi8fx6T6PKZqDD/HFHe25c
j1O7HjzRDDk72j8b0/GjyWnmW+tSLfDU/uTLyr8ieKv99X9Myi3wjl7jc0yQ
KKYY6vjyqreAxVR46i12MfxP2/M2Ra8FehS5ef0kxDFFaNDv8vkWcK6SmEoE
SdwYzLg3ltIClWd/t2RSZVHmpOG2pU8twMwm7SKRK4tmTRNBm3JbQPPE3GMD
VTl8VyxwX6i6BUJ2n2l5KyyPZi/uPTg51QKFmXKaK7MK+N7OMqJOphW6j09v
y0pUxue9e5OCVFtB9oq9tl+7Moab8X7ar9kKXuYhmZZMND7R7WrMMWiF4APf
+BTcVZAqa8H62q0VXC60Pt5MUkXlV8Qem+ut0OqY9mvRRhXFBLiU+P1a4UXy
d8++MFVkZGkzioxqhc8ufI8ix1Sx9efxh7e+tsL4vfjBg4EkrLigkqBe1Aqn
Aip243sS5oyypS9VtEL60rq0CM0nEtob6527WiHBceF5DCcZI4w+9osPt0Jt
4cLtZIKM/pUPfwxOtQLnG11yNM0fzuca7rT42wqR+xutWKPIaKmqILhrSxsU
GJ74/DidjIapOxTqdrTBO5XTr9aqyagaX2uwX6gNHFX/Ekf/o/Eid6r1f5Jt
8DzyhAuFi8Dd4SEuOUptwEnw2f2h8fT6Hf1QxX1tsIPLn/23OYFzq9LPp/Tb
IE2r+L2KM4HDVxjTkk3a4BbnpS6qD4FtMxP5Z63aYFd1eINAKIEVDpW1fA5t
EBsn3lkTR2Bu/5vedpc2aFdtMNJ7T2Caxb2ZCM82EJ8NTIrOJjCh8dzfo75t
cEHeYN/HMgIj9Q4xbwui9QvsSn3cQGBAiTh/aXgbBJ7/cdqwi0AvjS1yt560
wcrMlfHGIZo/fBnVUH9B6/+Xd0lokuYD8mVHlt61wcBFBiONOQKNXr+0TM9o
gxdBDD0iSwTuE7p7wTm/DTY/an3Y/ptA8mNbb/HyNlC3MPQ0XyVQkm1fyGBd
G+x7/enVizUCee4LP3vWTtuPyY69ebTMvJnuvflAG3x4efl0Iq1+w3swl22i
DZy+qFCO/yFwYamouna+DfoHLi430vqNuCR031tpg9661gn+eQLbv9+a2rep
Hczaf935X8VWHk7l9kZNGbqZotEhQ+b5DN/5KF5SqJQGFaVCGeKQojKESF0p
klRScUMyZMhQFDbSRTQYzsEZON+nUUk3aTD+zu/P9eznfffaa6/n2e/6YzM+
MVD7gf1/ZuTY0L1/j4s6yUBP+tfK1S5mw2hLxljvoEivbZQVYWpsaLCPW7n3
DQPldEwbmK1mgz9hfb3iOQOlr+Phn0zYEOfpaTJQJ9Lr6RPnfAYbLi+UedD9
QJTX6FnuB23ZsICjN3Inm4ECSyMDVjqxoVpaMc/mMgO55uBJae5sMNHSvDHN
YqDRdU942t5sUPh9ofHkXgY6/36Nec0RNriPQ3KfIwM1mAJnMIoNwVYZFjYU
BnLvbjJknWVDu4tz7aYFDPQjfF3M3EU2nEukMezG6Mi4fsNqnTtsiGj5dPZj
HR39e7DtVM09NjSq0ldlZ9ORj+TGTqcytugd4vrYJ9DRzU0ux1mIDUU1tIw9
jnQkM7ijqYZgQ24UN2qymYZyT/epOI+yATWaeW7KpiFbzd3+3O9skIswK7wV
SUMn/D0U5iU5EBeyz3uNKQ2NTB70dNbjQNqs38uSJCqKvUmUc804cJPVnbFq
PxWttDkkGczkwMUg8fy7FlS0PdGv+IozB8rPBR3g9lkitDj4NzeQAwVUYcSh
xZZo76Ovm4PDOCBrWGB5edgC/fQIzZmP5sDW6YYuQYkFMr0b5rg6hQPCzUhp
3N4C3TKPyggu58D6Mv0/h9vN0CmXvy3EfnDgpFb5g2oZY7T4m2xi+gwHbHld
vhYXjFDZ1eT+1Qv6oe5N++hOOSP0jpsSu3FpP5i6yzQ9WGCIdh7J6ErH+yGs
8IuX77geMj9/N0A3ph+eGXjGaKZoo8OfJjxWn+uHPT/C/dSktVGmi+NmnZR+
oER6KW2J1UISKp9Nte70w13Hb2Mslibi5NAnKA39MDd1TTb9DAXF1rXFqM72
g2VaXmrNDRX06stYumTMAPzTnK/R8bK3UXKbXaLEuQEQE2tDPTkZjXhV+gnx
lAEIOFtI8K26bXMjme7ztwcgQZdDOq/6bHtSOl59un4AhFdu8xukxEBDU7Xw
+8wAeNbn3uIYK0PITusG4vQgKJ2d7ngRrAVBj7ttUs4NQkxjwJIYcW0IUDvS
iKcOgtPblTyXDG3wHrmBLucMQoRjyYDBYx1wC5tstmkZBLMkmQKl/3RhzdWK
f2/KcEGB4EW3mRsB/svJaYMSF1rdfyboVRoBfd9w27flXCi2Zndb0YzBTEeh
w8mIC1t+xF3wtTQB7aqgzkkXLogdtnM0UzcD2V69N9vTueAVtSiFzbGABczG
bbNZXMhUvBq0a5ElSNza1V2Yx4Wpxfr6UvaWMO2T2DNfzYVJs5Dvb+9bwtfv
RF9pPxfiIxQdTwRR4fPuyF0eQi7Mb1aWN82iwscnShypT1ywCZ1Wl2inApkA
/fumuKC5RGf9jCYN2IvvDMqp82CdP++fmTYa9Jyk763R5cFGiSCjwHEavOJ2
cr3MeLDp3f0j75fQoT13ivcYeBBzrCpByosOz6XTPQ8588Cxmrol7ywdWgIN
BQrbeUAPwIo2FdChnuo+5OvDA5VSuZzSj3Souz5+QDmIB1tYitf8ZBnwaOr8
cH0YD5LjtrzW1mdAeUuNUOUcD5Tn6udyRPNw7g6Vkeb7PAj5onw+5YVoHj8Z
Lc4t58FzVU5ljVA0H98cWfX9MQ/iNTp2Tk0yYFpY5andzoO0Q9c2ctQxSJei
RFu/4cGzK/LbWBYYGBgk3twxwIMo1yQaZR0GbkfdOAkfefAn7VJomw8Go+n1
P7K+8aB43UKi+RgGZx6tVqn6zQP/FIZ7XxwGS7mXLDvF+KBqeTRu7hIGpbM/
XEdk+fBAzEbW7iYG67X2h0wr8UHGyrg4Mx8D7vrnl1RW8KGqv1RTthyD0ADT
EmMtPoTRVxim1mIgfelah4MhHwZmj58zasbgdvnsh32WfEj7zJARtGNA7fWV
DrcS7dcgTLv3GoP2ny9XX7Lng/O6UZVENgYHV2IO+Rv5UOpTmhrBxeCnTbZ3
/XY+3Fq9a+HZIQwueUuf6fPgQ3R1e2YegYH2uZDsL958EGfd2MEdwaC2kFMv
FciHg4Nv3fTfYbC1y5ZHOc6HyeW70P//b7wbL/hDj+LDmF1rlZQIn1ZRXL4l
gQ8z448PXhPVL2aewnyT+aB4q0fcRtS/cO+wW0w6H0acKB+nBRjYxjqFXcvi
g5Hsl+CeQQz67pZfKc0V8Qvv/tPUh0HQ82UVz4tF9Qax022vMJD4FPdKUMmH
29blnz60YZC56OOXySd8KK5faqfVhIGZxba/FJ7xQZ66ISb8MQatO2sN9Tr5
UFvXpkmWYrD3lKazbS8f1CqflAfmYfBfVpLfbh4fQhvlkUImBhqke975z3x4
qJIu/iAWg+oFzc3ZE3zQImbuF4RisMnQUPhomg/9sScfIm8MToX+oXz4SwCe
oa522+wxUMjwXjOvIoBjQUqxHeYY5D/u8FhGEUAhPnzxsMhvb+ZuXncyEa2r
ZOVK/mSAn7ZEzUG6AL5NjEXKEQyY2RDYe2qtAPYnFLymdzLAMMVaqdBFAP9F
IyuxO6K8qMa7IBssAP/B2aPJGAOWg0Oh5gkBpKz5qMlfyYAyn5J/8RgB5MfL
tXrO0YFXFC15JEUA7d0d3HFRHqPjlJiOUgHUydKsEtbRIey83nBtjQCKK/j1
6lp0qOyzsC9sEEDe1I6pqTkaWB7bsODvlwJo7TW/cKaWBmbFISnrxwSgNnTg
OqFNAwNK8x1kMgSH/9mk6c6xBP/Azvky+hB4uf/KbS+yhIJatnf22iEY2baw
IuO0JejuGtWNcRmCGzHOLEdNS9BOVSmzZg2BEm/IzcHLAtTE/BprSoagOG9S
tSDJFPZuDdW8VzUELeY99k8pppB1Oyoh4+kQDN6hrn9ebgLLrS47hnUOwe8u
6/T2HmNQPV77yuLzELxmfZCQkjcChbcLh0uMhsHu4HXTZbv1QKK9fP5u0TDs
CFyrZ1BNAbll899sKodhlNbetyBDDZT8tpKDT4aBpt6/6dnxlaAhNdaq3DUM
xbbn7smbLoc1dkbJ8V+HYcvQ1GL6dRWw9tyRXLFCCFOUevRfshQc7+tSTTsg
BO+11WtndMXRz+hw+SEfIVzWLr4GcZIoUocibeIvBCmdtdcb+xegM8eDfrUd
FYLLTkWdxecXolSlhdz5M0IY9/f93DKqjIpdnHKO5gnBcXdpxdASNUS2Nhu6
fhTCnKI/bu6kh6hd24/t/CIEB8WpPzXP9FBCL1G755sQ1CdrxGNAH+mQ4s5e
v4XwHmmn1NMN0OF5e79jsgRoTbUo3FhihN5bteReNSAgnOljkFZqijD7HaM3
TAgQq9++1odihs47k5a3LQgwuXzq1JpkM6S/R6I5HyegYlfW0Z8+5iggfN1w
jTMBW/eualFLtECjZS1qAwEEPGiYGL6vSEXWj3Yc4rMISBm/X5lhS0XJDWSx
MJSA1qLdnDEWFRl3SVh/iiBAeX6purCNilif1rlPJRHQ5nqiK/ckDdV/68mZ
u0TA588lam/+oaFFv30+SFwhoCrr1WqvFzRUKn325F83CWh6p7EoX42Ovuo8
y6AUEUCOuT/IfkRHtsY7+ZqlBJRdvDfeyqOjVOqIju5DAoJm535tEGMgc3vJ
KtM6ArivT+a7OTFQ6AGHbtsOAjZE+u67+JKBmnx7lzu8JGDk2n9kyBgDKQcf
8nLqJuB5d35UwSIMVUafHXcdJOBVQoau4kYMTWQ+k/f+RMC3oK051XUYun1F
/Qt/jICBXSkJZv0Yckw+9cL9OwHL32/u7pzAUGa08d/bpgl4uZLmHWzERPbh
53y75gnIdEjXC13PRKOsYQdnKRI03Df6Xd3PRGsPXBWzkychTwloVilM9G73
2NBTZRJKCM2eJ3lMlOrq1MBcSsKy7F+y++qYSGg3HWm+ioQLWRNPJwkmumC1
y71EhwR523enx38wEZVajukbkJBg9dRDWgZHiTqHJjQsSbBe9rT3ggGOTCkN
3VkMEqh7XldPMnHEUV1WsdSaBH8+xS3GEUdx8sdS021J+DV59YKmG44MpDtZ
Cg4klN86AMNeOOqeW7052YmEZtfukDoWjqJ+xRpKu5AQLeapXn4KRzrfBmQS
tpEgPhrl0RSPo66P1PezbiTIRtxnjiXj6ARxqTXSg4Qk/Y2vGVdxpMF9nzu5
n4TTAQXMrCwctfXYxR/zIeFaHDtx5V0chXZmHRzzI2HL9JvWRwU4WtH6w+ZI
EAnFuFD6aAmOWuq3Ut4dJcHjs36oQzmOWDWFU17hJMipCqzplThaUiYxyI8g
QafpWaV9NY4aCzwfu8eQkGEsR2XV4Cgg59G1vniRnqS6RrUIK2cqhW87TwJ9
5PLbFSL8JC1wR1cyCRfR2193qnB06EKrhfNlkd4orMvuIY4WJWgotl4V6S1m
x5Yow1FNVMQYZJLwokgn4W0Rjg6E9XQ+vU3CzRC3re/zcSTDMilm3iUBCQ3/
lc3BUcXh80lV90gIn10R75KJI4/9Qj/zYlH/tQ80K9NwJLHbekNJGQm1WJKr
dRKOSrZm6OhXie5zZ2LTu1gcuTl9Fc97TEJFULVpTTiOCvDcxqwmEhbTLko+
248jV8uZ20ufk5DzQmlGYjuOfhvujk7vIKHfokMx0AFHm9QW4sk9JMzlW/+o
0MXRhMrhpdL9ovOrPr2SvgRHtxc1/ojnifgWtRPZUjj6OnvsYeRbEswGpM+u
ETLRjZ+dlyc/klD2kOC87GIiu3HdkGNjIj59YWRqLROlCweNjvwkYWPE75C7
In+vGaTJvZsiQWmLhNHkSSZ6253ywWte1N/rnuLpgyK/v/jwnC85AgtSZ1yY
TkzEfGaf7y47AreafVUNzJjof5VDGRQ=
        "]]},
      Annotation[#, "Charting`Private`Tag$572889#1"]& ]}, {}, {}}, {{{}, {}, 
     TagBox[
      {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwVlnk4VW0bxaVIIVFJGmTMkGQez16vuUyVIaUk0kQvEpplTGiUkAYikqlS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        "]]},
      Annotation[#, "Charting`Private`Tag$572935#1"]& ]}, {}, {}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  ImageSize->{346., Automatic},
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.7863953146775904`*^9, {3.786395392557776*^9, 3.7863954429522476`*^9}, {
   3.786395532421589*^9, 3.7863955799267397`*^9}, 3.786395610619585*^9, 
   3.786395659138562*^9, 3.786395695025121*^9, 3.7863967113860273`*^9, 
   3.7863967816574297`*^9},
 CellLabel->"Out[17]=",ExpressionUUID->"3cdeb1a6-9286-41fe-b8e3-76e77bdda2fe"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"0.01", ",", "0.01", ",", 
  RowBox[{"10", "^", 
   RowBox[{"-", "6"}]}]}]], "Input",
 CellChangeTimes->{{3.786396741309351*^9, 
  3.7863967474025636`*^9}},ExpressionUUID->"e30557bd-90ca-4822-b926-\
8a2ed67cc29c"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"e", "=", "0.11"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"xm", "=", 
   RowBox[{"Sqrt", "[", 
    RowBox[{"2", 
     RowBox[{"(", 
      RowBox[{"e", "+", "1"}], ")"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"y1", "=", 
   RowBox[{"NDSolve", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
         RowBox[{
          RowBox[{"50", "^", "2"}], "*", 
          RowBox[{"(", 
           RowBox[{"e", "+", 
            RowBox[{
             RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
          RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
       RowBox[{
        RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", 
     RowBox[{"y", "[", "t", "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "0", ",", "xm"}], "}"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"y2", "=", 
   RowBox[{"NDSolve", "[", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
         RowBox[{
          RowBox[{"50", "^", "2"}], "*", 
          RowBox[{"(", 
           RowBox[{"e", "+", 
            RowBox[{
             RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
          RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
       RowBox[{
        RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
       RowBox[{
        RowBox[{
         RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "1"}]}], "}"}], ",", 
     RowBox[{"y", "[", "t", "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "1", ",", "xm"}], "}"}]}], "]"}]}], 
  ";"}], "\[IndentingNewLine]", 
 RowBox[{"Show", "[", 
  RowBox[{
   RowBox[{"Plot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"y", "[", "t", "]"}], "/.", "y1"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "0", ",", "xm"}], "}"}], ",", 
     RowBox[{"PlotRange", "\[Rule]", "All"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", "Red"}]}], "]"}], ",", 
   RowBox[{"Plot", "[", 
    RowBox[{
     RowBox[{
      RowBox[{"y", "[", "t", "]"}], "/.", "y2"}], ",", 
     RowBox[{"{", 
      RowBox[{"t", ",", "xm", ",", "1"}], "}"}], ",", 
     RowBox[{"PlotRange", "\[Rule]", "All"}], ",", 
     RowBox[{"PlotStyle", "\[Rule]", "Blue"}]}], "]"}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.786356947633198*^9, 3.786356966109785*^9}, {
  3.786357009582051*^9, 3.786357009682782*^9}, {3.786357065403764*^9, 
  3.786357254576579*^9}, {3.786357303593315*^9, 3.7863573353145123`*^9}, {
  3.7863573662607174`*^9, 3.786357386154516*^9}, {3.7863576006837344`*^9, 
  3.7863576059506493`*^9}},
 CellLabel->
  "In[223]:=",ExpressionUUID->"97927b30-7539-41af-8e66-97cba5f3d2a7"],

Cell[BoxData["0.11`"], "Output",
 CellChangeTimes->{
  3.786357160991861*^9, {3.786357216985114*^9, 3.78635725526075*^9}, {
   3.7863572980222363`*^9, 3.786357336183158*^9}, {3.786357368917612*^9, 
   3.786357387248591*^9}, {3.7863576015843277`*^9, 3.7863576065360856`*^9}},
 CellLabel->
  "Out[223]=",ExpressionUUID->"25c6e033-e03a-4007-96ee-a698a7652978"],

Cell[BoxData[
 GraphicsBox[{{{{}, {}, 
     TagBox[
      {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwcmXc8Vf//wK36ZFVmSEQaRIiMxMuWklRCKBKSkFH23vO691xRGSkZSfYe
vWVklr33uFwXFdIQ+d3v76/zeD3e7/Oa55zX83XeQlaPrtvQ0dDQBPxHQ/O/
q7DJz33iNyxVaKQ2//9aVMgSKrGhDJl0l6YerSvDcKy5/Mr6FdgYePVz89sV
WPZmIHSs3wb1qX0/NhZuw6bLsHLNuiOoye98dWx0BG9Hdc6SdT9QufArKEbO
DxhlVxsmegLgJP33Zpvv/qC306EQOhwI83sUQ/uvB8J4o/tifkUw5OtkHCyl
CYZtg05NBvdw4Fx44vRIKQw0S4VSnttEQKSnLEs0XTjEHvLYOHMzEuY4wj5a
fgoH/kmh17dko+GGysHJLxqRcOGhx27+ehyYRhrj09ljIPRLp5HmLA5+9X6u
i6mNgU5p4fyRnniwfmkSdssqFs742p4JHsZDspwOv9KrOOiVYBvVMyCAGeFV
kuB5HLhP1YQdaiXAQyUDtsgvOPigzjaRV4GB0UJibNxSPFj9qIn0kCTCsOJz
bRoFPOzNspVVzyaClmrYpx5PPOgz1sYMJSbAIG4+k3sDD+vVtvKv9z+FtuDc
SQ9xAiQ6sM05hD8FZe2aTr17BJjssj1P554IZt9/PZduI0BwENtC52oiUDyF
TM7+JsAJmVpCkk0SRPpejYkUwaB93lbZaiIJqit7UiX0MXBKZFsSv/kMuCOZ
LA8/wYD9Ym3Cr85nUE1uYtR7jkH5H1vVBs3noDd363x1NQam79hWYmufQzOX
9pblCAb/zGuTjGVfgEOQSo3SJgav99/XEM57AV/mr9zS3k8E7Xq2byvHkmGL
5dphPxEiUFxqX1QkJ4OCp37JuDwRcMfuawdzpMCTA15gdZEIZwfY1vViUuDZ
b5IusxERBsNrUw/Rp0L+eEnbgCURvBXu6856pwK+Q0O43o4IRyhsm3nrqfBw
+oZImyMR2l88Eol5nAb1iwdqtx8RwfPy5xsPfqbBn8LJJ51ORDi+LRai4/kS
oudOBCvYE6E3L7L4+NZLQH5K79SsiFB/ZuM7rUo6/G7tvr5Etc/93+t9a/7p
4POw3Ema6p/jlMHRaZQOi3mjsfxyRGiq2JXvonkFezkE+t4fJcJhfP7VD2qv
gHIofov8HxFc7W7ffx/8Cu7RFBn0LmPQqsoSkNL4CtSv7ql26sRAkLcmMYbh
NXi49uc1vsXAfe1BvrfWa/gWPC42FIJBZxvPpwfhr0ELx9tbYIqBt7f7ps6+
DPgw9Y3y+R8Beq4fZ5XXzYDLtJ0Xj3US4NTpfpET0RnAniPXdzuRAANj0oYM
LG/gzN7CgBwhAoiXTj/c0HsDc6E7i52zeAiOjQ+ZjXsD6vMeorvpeJBSXi2u
P5AJZTfyg2o48RDBldJeYJAJYYYBPLUJ8TC5emk2jZAJUiIvcP5bOIhJy2Hz
48gChairJ8hlcbCwe89Z8VA2tHBd4PT6Fg3Kw+yRp0yy4fXIOPZZOhoSCj++
PPQ8GwzrIyfjH0WB2l3Brk2+HHjOXXV0YSICUhpGJYoF3oLZzQ6TuqhQuB52
bVnsxDugvRx7f9DfGz4wgS3/uQKY9QgXyKq/iZrWLMl1LgVwvIn8h/bqbdQ2
HGxvkV8AobMHS9wcrJD9jXvyPRyFcDAkUNR89QFyF8pW4owrhASvVqaM248R
ru6M5ouAIoh9svs0VT0IsRXBnuXUIlBVNiZn8gWjhDcGn5RqiyDZOlp15Vsw
ehHjenHidxEI/NCxKyKEoqxb5XpHXYshb4du/V1+BBK90sLqgi+GfzfwDFKO
kShPdfjLx/xisD4ZfuPvyShUfHLL4N5yMYQ0TRj+JESjD5vKN7OsS4Cv0bIw
TDYOqS3pc/8KLoHsoI0mnd441DRuMaTzqgT08uLv+z/EofbGoFtLEyWg/HDN
diU+Hl2pwPjOb5fA1N0Fog8rHnXnZoxF85VCekFJAs4AjwYJzbfFjUshoFZ/
QbYLj26FDQr4PSmFtAcl46VMBDTuuTj1mVgK/VJlzckaBDRrwWj1qLsUCIFT
HL7vCcjmBt+x+q+lwMy2qmkzSUBk7dPzB1nL4DrP5wNPWTD0VeKKbbFuGUj8
nYjJs8SQi9Cdk/R2ZcDGkHwvIhxDPzgfkW+El8FP31DO+LcY8tgX+PbNmzKQ
lU1T/dCGoa2/ePvNBqr8zejfgUUM+X17dVp7pgxOcDxsC6AlIpq54pXE3TKQ
6n+CMfISUchg4/vFI+Ugzury8a0EEe1t73dSuFAONbtWx28DEUXVkSSjTMuB
tkqYXkifiFiKfn4f8SyHJGN53o1bRBT/5r9isaRy+KfmjeuxIiL2ZzxuPmXl
EPW+b7fajoiexojKdvaVw4P+0LD8h0TEE3B+k3+9HF6/XE5/R5VfuF4udzxY
AU0n6HSLqfuP2Jp7fDhTAWmXudcaqPo+bchvu+tVQKp+5D12UyJyCuIIkrSv
ALkLASYxVH8OHfi2hxxRAfe/sQdKqhJRfUp7dHpmBVx+PrhMI0lED8SyDtxq
rABa52UuusNU/yqDEthmKmB848LKOQYiqtG6zdv+rwLcyPN1LykYsu5TSAvm
rwSpe3VKGl8wxHqX85jS+Uoo234cJ1KAofKv37I3jCvhixmmfTEOQ3d8O8Tz
nlSCfeJlwxI7DP3HlF1kTawERpblbXs1DBUmBcsdKaqEHzxP6J4cwpDJ8Ts1
A18qwTDtatIQhYByVbmatZmqYGRFf6A+ioBufPmuu3uyClaaXTNu3iSgbbPO
LxVaVVDFfsvCQoCArniEDJ8KqoLhfGPW9Rw8+slgcXsmrQr6zJ5KxtrjURp2
fvZ5bRWkPg0i1Ini0ff3a8tMv6vAwOh+FY96PHqu9Nm5kasaUtZmk3yKcUi9
LWfTR6Yalg/d+mEugEMJ8xa7K07VEJ31X/U6ORbJH/7C3kWqBoaVpz/XLkej
6Zy3SRH0NWBsLv2740UUipQL41cVqoGJULv4OVIkGr124USReQ1cepvCKOcS
gfwjcxWJfTXwUHF145FFKGraDLc0/lgLNL6lsXR2PuhaN+RPpXyAzKWB71eF
LkDtkX2cR+o+QOGhNiMpGX049bDby3TiA/i7UgLhlDH823NXa+AIgkI9Vjn2
lHuQqxQ83p6GYCePdWL8gwsE37DaY2ZQD9UHlYWnfAJBwVu70suyHvST7w7r
WAfBarrYw2fO9XD4Smvoe91gMPm63j2Arwed1gCpHqZQkIwKSTHoqYfL3/t/
aVhFwHzB/auPZuohM6ud3uxMJLwYvEyHW6uHs/b80Wo/I2GvCKddB9tHWLhu
9X3dMxrGP7yR0b7+EXjn5oYva8cBRopcsLb6CPdVY+1VVuNAh8XxeYjrR3C8
4bxNE4+D4lvnduuxj2BYkIkPb4gHu0De4qnXHyH6iRMzkxgeBLJ3rP8Vf4Th
IH5Temc8RP1oblfq+wjjxXoWt6k8o3I418907iO0sacpZksR4IcaTspr4yNw
V3+Z37QnQK6d61wSfQMovFw7D68JYBlvlFjO0QBCHwuSvAYJwF1+XnfgWAP8
vpk5mfwfBh3jAtsbMg1g4c8cmHoOAzmxxbvShg0wk5guJxiJwYpBB6eBdQOY
F+6Zw+dh8MqjoMXpcQNE5ARyNn+mclka0TsutAFGRLN3yqj9maXZQyIvoQGy
eVZN7+wlQsOy2XT7mwZQ9ScEVR0hgge7KnGptAHunCg1bJQmgriiiPa+5gb4
5Ld7yVOdCLMW+/6cGGiAliNn3QauEuFZ+Mo7LVIDBI0rPxi+RYQr77vvWG82
QH6OqU0AlWfo+kvZQvY0wq4iSLXdI0Ll1rOmV1yN8IRB41QZVXYS8vOoP94I
rNEftTSo+0Uu3hWbOtcIJ49eOPCYqm/USWtiR6sR5jYNci5S7cU/FcXzGzXC
exq95gY1InwPyJ04adMIHY067oJniXDd/vRpmceNwPiP/CFBkAglhnmeKiGN
UFg5ZnaciQicIPFJF2uE7owfAf1rVB4Rzee4+aoRSgMf9GcOYjDEIXnXsrAR
JizwdqmVGCj8K8h/iBqBGeKLUBIGL8hS2+5fGqH6598MtscYbPcW6QZPNIJL
4MybZ1cwuF13NiluhSoLermYUnn0KCZ79g1TE/gs+SVm/49ffcsCCnibYObe
YKbqMwLM2cp9rj7VBO7c9xokrQmQpaRg16PdBCaVcd8lf+Bh34mqsvGbTcDu
prp6rRIPDw6epydbN8F/X3pKl73wIE5SSvsX3AT9PRef3FqOhyIc9J9GTYCp
rND9R+V3dq96IfkvTfDo0kMbGvo4eHxP7ZH6RBMM+zr5JljGgpyCBtOtv01g
8ysw4tv+GKid0VYNl2+G4myFtxeVIkGgsyWOoN0M9w89B4pvBASUXxxLudkM
n1OlDbarw0E95pJ7iVszUALNKxfFw6BFVj9vuqAZ+mxOGEgvB0FvxE0epVOf
oCnsaaLj2BMgS1h//8bTAng9nMIWsyUS8zTLVxZtgVH/mScbh62RY8N1hxjF
FmB5FXzA6JQdWjdSI58wpa6L3Nup4nVG2wEC07eTW6BgEA2G7XoglXautHfv
WqCFc71M+JsXCuJkNf9T0wJmlyo5BEZ90N63f4cSxltASTqerzc9ALH1Dnd1
HGmFTTIdDdktBBnyd8fxnmkFntfq4v6GoSjRtuXyfZVWUJnMt3GVDkP8f8ta
6CxaAY7Oeg1NhaMTIkSkmN4Kz1T/cjswRSM7p2i/iMJWuCz5yv1TWzR6Vxmk
NFDfCjfTgrKMQmOQ1BXnCueZVsizVYklUmLRefcrBdnCbbAtIZy53zMe+dZr
Om6ebYNCEZGE7r14hJgunNbQaINrOc51Nfp4pPlSLHvyXhvE/Yx+1jSARxFL
Qjbij9vgyGrp3zZOAmqX4T3mHdoGSqk05fUGBHS19b+XXJlt8EWAGGKMCAhj
3zW/V9YG91yO5sytEVC/+U++ouY2kODo0lQUwtCh7NXhfwNtkHFhf+fVKxgy
XZtP1FtoA9uTfy4JumMoRWnc8MXPNuio8r+VnoyhqbA+dvLedni5wSvZWYch
4e727nOH2kGsiT8lZZzar/kacCEn24FR2JWW5TeGsqyr9Hrk24GzXMWW6yAR
LeUXMglebAfREP77pdRciv/JbnUwaQdD+lxF0jkqT2i8DK+2a4fkEMeaNxpE
VBiXqLnPqx1GI3LNv18hoo2hODqjqHbYG9Qv+cmQiOSEw+oznrcDHYFrRcSE
iDwdfP3X3rZDUuzVMWaqXF3udgGq2+Fxfth3b+r+HZqHW7Ht7RCcdaDOlapP
9bJV5ehoO4yom9j9UCei4Ke33E8tt8NF0vVmWqo/zVMGsu5/2yHS9Kdy6jEi
2id2cb2RuQN+JRwZbttPRJceQyEbfwcwYQLqMT8xFPdBzslCvAM+OPdXkUYx
NHuTY//dCx0QUbinzL0WQwqr395b6XUAnTr+WPsLDOFCO69Ym3fAW44vjaQn
GJo7/HbVxqEDYq9kD3RR66FQEhZ337cDpARKVeKFqfsvWUk8iO2AMNclt9M/
CEjR67CjQ14HKOV62fHhCAh38DeLU20HnGXoqfA3IqD57P68R50doG/cNjB7
mIDiB+NWXFc64OWNabG+VDyad7SPfbzdQf3+4PmemOLR+T064u4sneAVgJ1S
58QjkgyNg5d4J2wux+3w7+LQ+Y5xZp8LnbA/42WjvhUO4a2q3vnqdcJnvKCa
cn0cUiK4Lgc4dMKdpW+/6x1iEeHrvH14XifsCgTGv42JQgthH5kiazvhjIGf
MU1rJLpwJC03qrMT4kpO2jPTRKLFy8aU2JVOGCCWubTdC0fKb9seEMU/w3Zl
9f6RnWCEqWYxPr3wGQZKe9brDwcj8lDw20S9z3BYljE5VC4IEfdeWHru8Bn4
nV0U/T75o6V7+XbpeZ+h32efL1nJAz0VIN5/L/4FxOcPkPOXb6NVorlNi3gX
JASpiN2/4glfvw68LFPqgtq4IxyzHN7wXffqaMalLrgpOk5rP+gD67tqVwPt
uqBhTl4Trx8Avx+eVFR80wWSFVF6G7Qh8OdTutvJki4oSUNHanpCYEuIL5+r
oQv6Grq3gtJCYWeI5dj6VBcczuUcw58JB1phr/AB1m7g9jgfbH88CoK7yjL0
uLpBN99mbXIkCuj81usb+bthMzQm9X50NDAMP/xbdLobekx1Ky9NxUBoWA6P
qEw3OFUeV3IJiYU9MqRz6ee74YmK0EnNY3GwF3fHGafbDdEHdO/ibuIgXCk5
bg8V8rzX5HcHF3Hw39JQrq9JN5zMnHnq9CQe9mleI9nf74bHXs3BfGpUvlmL
o5t16gbisMO91EA8ML1sF7zl3g37XxtXpNXhgXlLw1QnrBuscYMtvyQJEJsd
6PEhthvs2Z/QqtgQgOVmXcK5hG7QrGQqmkoiQBzdVlFecjeImSeyDrQQYH+h
XNexDKr9I3c/cG8SAHfbbeVFbjdUZCb2pQpicIC5kJG9uBtiGH7W3dPB4KCt
qCbNx264kRtxIAGHAYHD9q5HazdEbq34bLzHgP3ja/+vXd1w5dqPLp92DDCn
qWSboW7oquPJOjWPAQc/f9X4ZDc8qOTa2dzCIKHNZPDGQjdQ3FUvTe+n8oHH
04321W6wXA/1mKfyw1OR3oPqm1R/km37dyWIwN27/0zVdjd0KlielFIkQmLA
5ctSDD2w104r343KI4ckIu2ymXvgElcEa5s2lY9Gm8IEOHrgfBeHpaQuEXgi
aTOe8vXA6LLu+ayLRHh+TqWeRbgHZiJGkiS0iMA35z0RItoDx+lyl5pViPAC
X7G1JdUDKw+cDzufI8JhlR+HXBV64OTJhEAJUSKkLEudW4IeoD1fMLXLSwT+
547XLXV6QPrjR++l/4iQqp37aEi/B5Lfhv1dWceoc/1CrL5RDyiZyvmyjmGQ
9upYbvPtHqCJUcb06zEQvGrZcsGmB3iyghRLX2OQvp0yX+LQA5OJdUPqwVSe
yR2hPf24BxqqSq/t3qHmP+KasYZvD3i4tZo/o/IpnU1bnlloDxTo/x5d3YcB
SbDKODahB96cZdb4mkkAox2p929SeuCUuvZE7iMCtI7m0NW96YEdrxR6HTkq
Hz999n61tAdMuTd1dKrxcNjtIP3euh5418Hn99EDD7EGkSYCzT0g4lR1U+cs
Hh4xe9JfHaDayxKhNVCOB9kg41uFmz3AQtvn4JwXC5l3uvJbd6j1MbbLZf0b
A9wXdBhm9vTCgqdm8BvNGPjzU66AjbsX3tDrPFBvi4IPDtx73OR64f5/va/3
poTDRZOBwnMevTA+SeKiZQuAqnNX9uoH9MKkvwyKkvQDMY5mM9uIXnh82oK2
96IPsH4p3ZuU1AvvWsRXdx08oFcjwfx3RS/Im+ACJJgfgbnkjX01v3vhIkXy
rQ7tSfSZpeN2H00fiGce8z3Fo41UKOoly/v6QN0uJ4VW7gYSyjx7h5+3D/I4
T1bvfriLFvjYS/0U++D06qqHxaozct7bY6Hq3QeSvI5f1iUDUYVWEl1XUB/M
q6kSxFmC0L/Q25m3o/ogbFf+ZAUpCMXSUyjez/ogukp8+hw+BL2loXcvK+8D
xX8vcbIoHH2HNh7ND32wdrxW7kpwBFIIiK/pbe4DhQ9eV4vUItGnncO03/v7
4Iua1OW50ig0uyUbK7bRB2kn5JaaHsQi0fN/z1Rt9YH2LaZqZpY45Oz1sUeH
rh+qA0dv172NQ/9+XTlkw9YP3hHrzTuDOKQlz1m9wdMP1mgr39w2HsW6j5oH
H+0HOVaBlk/f49HhTdvXLyX7YYzDKvWsDx5ZyUponZHvh+8/x/9WVOJRrtvG
Yq1KP3zR4zJ4voFHCusBEqNX+oEQWPvx0l0CCpDW7ra72Q9nvO+aMyYQ0Cdn
Frdf5v3wkjdkjaaJgAy/PavkdOiHUXeBFt/DGEo+Y2GW4dYP8UYB/22oU/u3
4/F/0j790N/6Wyn8PoZE3y+n1wf3w9YvkQipKAw5rxRpXI3uBzZ5Wr+VbAxV
nPZcmCD0g6a96smyRgz9s1eJcnjeDyOEZOZwKh9p5zKI/03vB/XomaNm61Re
WGr/EpXTD56PHcak9hBR/ymCC09hP8h2Wp5i4CIifjtjzuyKfrA/9599rxAR
3cs+UnEO9UOKVHPI89NElLswd6vpUz/1PRn9bHyWiNaO525f/9IP5TOIn0WO
iBRsnF/ODPRDnyRqLKPKAW/k1J0n+iHwonm0oSwRfZrbnv833w97VkeqyGeI
iPVYY0TcSj/sC/bldDtBRIZWUWL8P/ohmKOi/wcfEaW8uvo5928//HbsKH/E
QkRz01zOivQDwHRzh0LawpDY0XH2VqYBWGMPFDRdwJCrxesyI/YBSFWO8+/6
gqGqNDsTEu8AhPcfy9AtxRDN5Jm/bkID8IUwkNuZiCGdI5updKIDcFMtT+o2
lT9x5jWqBKkBWFXWUKK5gaGB5KA5QYUB+JHZqF4jjiH+MZ3wfBiAquX4Swn0
GLrHt19UWWcAKF+YOwhDBJR7q7+jQ38Aolz/PqvOofLSsCXb0u0BEBF2JL1T
JyCmD7yZ12wGwKH73EY6CwGNZvQqVDsMwDbzfqHtPjzyfaRpGeMzAHyCpbH/
meGR3s2djY3gAXixlMfZzodHR5TKI8yjqf7TZGacKYxHH/aeKpB4PgCexUkP
NxNxCLcyrZ6YPgDRCnLX9OhxyKL3+eC/7AG4wRcywfowDtGkMf/rKh8Ac2vz
BQmJWKR+7pueaz9V/6sVAtE/CrEfzpkeHRsAi6ZbvCtUXpqjuftYY24ADh9o
SvE+EIlCO3uTOdcH4NWRytPvCOGo5V45pfzAIFzcUfAiOoYgPcwv8u+lQXil
VTAxqOyF+D3l+K2vD4K38veNv0880OrtbwWdtwbhsM/4QmTuE4QTvTuUajcI
Yg1iTD8YXVFPveYJ1fBBiLyn7lBzwwYZfWNuCv04CLHNo0KvdK/BiYEm49XW
QXh7+Y/2cosJ/Kr2W77ZPQgV3aJFMkKW8Cz8G/vJqUFQ7n8zmE+8D2NH+u62
bQ9Sv9Mif66LuIGl3otdVoUhcIHGKo3UQBCywnUcUh2CPRdL+arDg2DWIzhJ
6OIQsDLMFNM7BoNNhr3kOZMhaHv9++MDyVCw3zpvYe45BJJxxRhnRAScPih5
2jZwCBQeSJwtvR4JK8eP/XoUOQRsJ+w9KbxR4HSNOT7k2RAc/GsbFv0iGtxy
xj7kVg4Bt1Jbdb9lHMh+6IourR8CFVdfBcs9OPjZ12j0oXUIZmq0OTzf4MBz
993XnuEh6rxm6vq/czNFrvTqsekhMDh0fmZTEg9bYgnhJPIQxLoTWfY/xoOv
ka/An99DwLge8EdxAw/KDs4UOtph+EPTbyl3hgD/gqzLWRiHIeISwyEOWwLU
J5kEc7MNg5Gqy0DzCwIEvdfTP8o7DHpCWnOanQRQb1TlExMaBgf6NqGILQIw
jMguyIgOgy1zDl3ocQyav54qVpYeBln1m0SZKxiEMxzx11EchmPF8544Fwx0
+NguXVMbhqojwWtxGAb7pPZwm+kOgyKt69jpQgzatf7MWF8bhruGtHlWVH6K
MVt973RrGAbzef0kZjDQc5nx8rw7DN9MbOgif2CwP2JAK/jBMNRmRGFODETo
Smlji3UZhlRx1uOTB4mAL66beOpFjW/J42o/lU+utRa9fRk0DA/2rOpfpfIV
+2Tmk7dRwyB9fOvvFSEi9G88VyshDEMxxj3c9T/+YsSx1j0fhucs3PQDfEQw
Egwe+fRqGMbDSKp32Kk8dc49s/vtMGQrM2457CXCyCV7l9GiYbBkvSRD/wuD
F5Z3lOerhuHh/ejUY1T+M3O/zvj14zBs/tsI7fmMAX+s9sCvtmHwv3eo72Ap
BpOvzr+i7R0GQ91qwYVEDF5WnHFkHh2GRq2DiUbuGFh+Flbkmh2GZvsSGrvr
GAjPce8RpAxD4jH6gaOnMXizfzfl7NYwyL2B+5m9BLAR2bC7QDcC3LVmB4Ne
EeDE+UVZbaYRMFofnznmSIAcm67OW3wj0JSwx4K0hYcHPo3P7gmPgI6vWzYP
la/FCBXWjmIj0P/X0fiCLx7e177cDjw/AsZ/RSb2zcWDpuwsF636CFw5JrSf
cCsext+JSAbpjgAnfc57vg4cMCW/vRtkMgJO0xPk2JdxYOtV8inIfQTUzwq8
TDgYAzvfN6do/UeARfuOVdvdaEiwU/gTFDYCmwHtY635UdBgXHc6OGEEtnf3
Sr24EAkCci344OIR8P0UudomFgZl7xlz6apH4CxmJkG8HQp6x/Uagz+OgGzF
56bDcSHgzdmzGdw9Av4HD6l8nw2CofVR05CvI5C8pjzXMeoL+IKvIqFio0Cn
fHIo3M2ByrXSKgxnR4FlNtwvttAOPqS5GYcqjoJT9mHZtCVrWIn7HRV6cRQw
6zbR129MQdeB7luo7SjsmwhXPHhQEtGJcleFvR4FO3cuqa6jzuh5uknvntxR
iPSp17XccUFSPMnLYUWjIMDkKLF/yA3d+e+oQHj9KHC7/BbFB3qgapJoSPjk
KMTxvun9k+GP3F4rX4ngG4PY4P2FoT/D0JZuTVqO8BiUrB2yoP8cjoLXFL63
iY0BRdvL4uzLCOp8KktkURqDnl5BBzq5KMRHLpqX0BiDJx03+Yy2otCreEm5
q5fHYCIROaOqaFQ4KTZCMBsDRj0ZUBeNRQrhOWIl98ZAYyfnPddILKqXOOHb
/3AM2pt+NLqGxKEuXyHBQ75jcE7v3uTFFhwyEnnprBA6BtKLWoyhlvFosoO/
4VbsGHCkHpP4vBGPvvLx2KSkjIGI4+wCSygeuTc8La97MwayD5jPPG7Co38P
OPZN5Y1B8Pn8iPe0BBTORrhFUzYGXu+rZN4rERBr1f53QnVj0F+2wWznSkAJ
lrHb6s1jILGnIrwvk4D49zHpW38eg5C4tTrSAAGJG+9Zy5oYgxr5hrmR0xgq
/Res3koaAx36Wel31zCklEWTsLQ6BscuB2zTPsZQwxV/EtPPMXjnqPB0CMPQ
pc2/cuL/xsBtJWPzeD6GelO8Iq/sHYfYd9ufFpsxZKr5a8Rp/zhczGQz4fnf
/5Xlx6fx3OOQN0R5V0LB0APium+RwDjYnr7uWP4LQ9/PO3/pPTEOeqdr/xyh
JSLP2VXBH2fGwcbm4G3yXiKiiX7owiU/Du/wjgacjEQUKb3UIAfj8FXATv3V
f0R0cMSW00RnHKL/1VyKpyOipMB5G6+r49BQsaow9QdDAqesKl4Yj4P/s60w
bBVDWV1T+2otxsH6Xc6ddxMYOuNx23Ti/jgc/hKQId6OoXKBsXf/Ho1D6CHy
MG8JhlQ+mewIelLlo4oqHs8w1Ow4qK8WOA48c4F1ut4Y0uMyTLeKHAeXRydJ
iSYY6q/tWQvBjwPXruSutQyGzK2vamQ+Gwf6Wu3NaiYMzTN/TviUPg4h+zTM
0icJyKHk0sJizjjQect7HikgoB+mrfKMReNgqEA6reRLQPS5jaOXP47Douyv
cwFU/om+pibu2DYOH2rHo6u78Ij9zwc/XM84zHxv866PxyPhi9VHe2bG4fIi
O83tvVT+/ibvur40Dq2tBw4c9o5H0klljRzr4zCY+oHBawaHVBcKbY3oJkDn
UNfl9LQ4ZBGanTcmPAE5tatizIPRyLn30LdBsQk4fV9SQ4svGgUfjZTuPTsB
B7nmvAtuRaE3tXblreoTIO7Tofa6PQKRf4jWl1lNwIJr4gK7Vyhytcnri389
AdWJPufNjLxRqHbRlobwJKh2PZT53/nU0wQhZRCbBI1M1PH9sgVkzRICzp+d
BNLKp4uU0nvQ6u/KIK0+Ce06R8O5Wx4Ca4XMfgGrSUg4z/O0r+8JCOx5Y8Br
PwlvFU7p5X/yAKkbnERO10mYF92MECjzguvffhxiDp4E7OvSGYMQP0g8WS70
+9UksFm6L8dTeSX7yQnrjbeTYMV+Os/aIAQqGxOzvhZNAvPlJxWvqPwyZuFx
mvRxElieyAbnz4bB0WcK53pnqPreHe8s4I4C6YUcj89Lk9CnwmxiMRwF6rK8
1a1rkxCaGKuj8jQarLv/qCDaKfj3+Ej0zm4MvN1XczFPaAouTLhojz/FAb7S
a/iI6BQ40TB7Gh6LB087Bbt4qSlg/LTNht7Fg3ZrWYQrTAF7pphtlBEeJDwf
H5rXngKaQz2DZAwPnKdksm/qTwFZ97FSUiceZiMKPyncnoLADsfbNfIEaJN/
ZJRrPQUDLEuPBB8QoHBRYuGwwxR0jrCLFiQRIClp5Umc2xRouSn2WTUSwF/n
3Z5d7ynYAAFZmRVqf/z14Klz8BS8k+8N5WWn8kX2qeOzUVNw/22v54FzGMgY
L5beIEzBl/AJlQM3MeD7L0uz+dkURGNyvhyuGNBWWPfLpU/Bc0Zr40OxGJBt
j1nnZE8BXV6OE3cGBl3csxu8BVOQdIZzmqUCg/JP6SEx5VMwfrXm4q8WDFLd
LTh26qbAZUOvvncAg9ATAhlOzVOQZeY0lzKNwcPB8bPTnVOwVMXRdoOMwfXw
5IZr/VPwbP4u888VDBTlTK83jk1BMUGmOfgrBkcXeGZl56agyl0J94e6/l/i
kEsWZQp8FXNCTan3f9VKpOVZn4LMoEy1LKr+gU1DQtSfKah9Mz07QbU/2RuF
96OZBpeIw3vpWzHoFXtgIscwDXQsnM2HqP43B188+u2/aRjOvdwgQI2vcvQk
OZt5GipydA4fpsafd/a/QssD00CZbbI9SM1PevSCBy/HNLxQlWmho+YvYbYZ
ermnofhWy9BPWQwiz2f+F8M3DRoNe3PW2DDwwUK7NASm4d2fQ32/lwlgpa5h
UXZ8GmSayn5oUutp9EL4pJPoNExcf+KVZEcA3XXabyckpqFnVMqHjfo8SL2u
938mOw386sxnUzrwILL1UvuawjQwZPOrfCDg4dD1gP1MF6ahjjHFVOwmHv7R
qqT5aExD9N27XQdz4mH91hFbWZ1pOGpr4CAgGA+kom2J1UvTsNpgXMxBwEHn
3Zq6O9en4fi8jSi7bRy8+KgwoXZ3GmxOEo25h6IBx8uTuWU9DX/58xg5TkVD
kMsvhxK7aehbVu1rfhwFdkLl2yLO07DRdkqpkTYS5IJk+PcFTEP/y+VXXquh
IOwiFcgWMg1u5/0/LLGGwv67EvN8EdNgWYEX9xYLAZLqyTyJ+Glgc+OOe2cS
BAk0hy/ceDkNxj4/tGL4fWAjgM48DU2Dbb9OdrWgLUw+2kXZjdR6CIel0dJa
QbvF9rGilmkQ3z2VlVhnBq/h53Jj1zRw9W9kO+ppw/XdJZ+lqWmYFUnNIHIZ
oUL/nmRZmhnYZoh4rTv4BKU4fdlVZpiBaocLIQ97PFDknY57OvtmIDU2oWq5
xQtZqDSfNj04A/s/tIgFZvqh/f8qawKOzoDxXpKBamww2lotE4wSmQFO0Z/P
mF1D0MJEcQh2agai5r6rshqGog91eZczpWbgCeVNMD1LOHL0Sx9rV52BEiCE
cutEIRPHVOjXnIGBF1fLKYzRSPP2i4yJizOQefmTYW5LNOJXTnj43WAGxv50
PTeWiUX7JAhdfwxn4NPU+/yd6Vj0gx8nQ39rBr7Abz6aqDjUuR3xl+vuDNxm
lE9IpPJM5UqohaDNDCjtN2lYvh2P3owHNZ56MAPX41riBL/GI59anxgllxkY
of/KPuKHR7Z5nt80n8zAkZQrzY61eHQ95ckNfa8ZoN2xsK39hUdivo8O3w2a
gX/q0n9MrAmINpUj63jYDNwhO/LaYAQ0XFchRYmk2l8pp3GtI6D8SbOa/NgZ
WN+hkfAkEVDY7q6WG34Gyu3CMpyp/dX86Jtu+YQZ+DP5b9VQHENn1S6abSfN
gNNnfR7ByxhitFoh1SfPwNdp95o2WwxNB+Odw17OQI7ugfWrARiqyJD9q5tB
9U+y5N77BAzhmobD9mfPgERHoNpkFoasSb4H+3JnQO06j8ZUGZWX9golJ+XP
gDiuuOj9Rwyxn2w+bl48A1dfupnpUHmCrPOg8Gj5DBiprKbldmEI2bEqkapm
gDnmm+1gD4YSo4qa39bNQMfRryfauzHkmHvTwOnjDExEMCyEdWJIs+PP6Nlm
qky8Jc1E5Su+lVSbX60zICYQcdKkGkNrLOrfazpnoJuu080lD0OtEgvegd0z
0Cu7oGuSjKE0/eg9Wv0z4Hmu1/lABIaePDqDZxyegV+OZ2RePKLyC76X78vY
DJwrePVw2xBDx4rcM7GpGRCecQw/L4+hrR4+KeO5GWjZV+B4ixtD3esfqg8v
zgD/rYuJd9YJKJvjntY0ZQYCp3hYDToIyF/2v+43X2eAyUn7luwrAjK8+c70
wfoM2F3/Hcj+mIDokjYerf+ZAbav5+6OHSSgkYqkrfKdGVCn92sZHMWjwmGl
MB/aWXC+/dx39RUe3eYLfcHAOAvj3OuDxJN4JKt06ngbyywcs7EzdO6MR0zm
nQVxB2fh0NlgP3XNeFSZytnMzTMLu+11wdPHcCj+Q+XVscOzwHxf0GUiJg7Z
TpmPvhSchWk3i8Hmr7GIQyjz26mTs6Cc/LS/KTMGOb05x6ckNwu0fN+vpY1F
Iq3mkTe7irNQ8ZYkwCEQifgX/CSblGfhxMrXJEvzCNR28pPmFS2qf90j/Uyf
w5DIO6NHFoazoOuV9u1+cDAaK/JoCnGdBcMDfEMqNe4o115x+Zn7LLwMbY1c
L32MvI/9Zcv3noW+E++Qa64r4nnqbzEcPAuXNYpMabkckaFn2JY4cRakeR++
v5JrgjpViFKDJbOQ96zo26eHNpD8y9B4uWIWNKXtH2o9fwD2hdz+NLWzoMb3
3D/uoyPsE37RIdY0C/PYRkbMrito7nllG9A/Cz0meveuM/tAXUd+yqnNWTB7
9vXMU5owiA11blT+Mwv97MseSZNhYK58lnJ9Zxb2rpkThSrDYSu/TN5vzxwc
UVM+f/h2JLTd97iDMc6B/GsrYdlTUfDsqGJYNusc9Kceyzz5NQrksNreHq45
YIiUu7H9IAb2XPb/s8A7B74GLwTjBWOhn1716PaROVgJ6+616IoF1yeNjidO
zIGTZVCL2BEcqJ0JS1ASm4Nm2uHVqWocHFzUrjE4Mwf6/+7PXbweD/km7ft8
5Oag3vDQ0rgcHvzYYiXx5+eAaO/v3uiJB732K0aZKnOgodfMqFuBh8MhB/yq
1eeg1UEh3XIdDxSlnowu7TlgT7w0vSNKgKofWPv8pTmg1R+U4LpDgMj3hmt/
9OfgEFNrejKOAMa23DwHbsxB0RkGxogaApwQHFYRMZ6DF1+0tj7PE2Bz6LmN
otkcdJlY1t5nwqAJbxarbzEHcTjeu3riGBB1j5TcuzcH37UOVjy+hIEV3dSI
5/05oFzPujpqjYF0TToN7iE1X2E+kR4+GNA8tjqZ8WgOjEvHvHVwGHSLi+hX
us3BBCmIXTsVg5ck0uPPHtR43q1tP8rBoHjtaEKXD1W/O7352wIMPu2YlfQE
zEHV5zJziRIMRhmTevtC5mDvgzv7/xZTeYerd20gglovyg8ddup+OmFWtuGY
Obgka5Xolo0B95mLUqPx1HqLsmscTcFA7HzI1XHiHIQYaZvxxWGgov3BaTKJ
mt948VRrbyp/Xf8TN508B18lv8TRUeOxvSP7fvblHPyef3//ty4G3vaPOucz
5iA8xUPgMjUfce65ywvZc2BgWnWfhpnKQ8EkpqV3c5BO0nktsECAUtxRseWC
OZAp2f2eV0eA8axEu28VcyB+xvGPohUBvhf3RKzVzEHOsJHtJUkCMCCW7A00
B0Lec0Fff+Ph9FAw6VfLHIy8/I/hSDAeVObqGLY65iCvR+31BzU8dT74fWy7
aw7uukXQa23Hg/d/j6xohucgI7L63udRHOA4coPoxudA5GYla4sqDl4LktIZ
puegIGKHoyI9jsrXZlP7yHNwWVlh4o9+LPDY6Ziz/Z4DKc/vqa12USD+ONiH
Y5tav9YgptOvI0E1sO4FF808sHDdSEwfjID7z2RGePfNg7BFaOF96XAobxU0
EuaZh6EM278sJcFwU/T3VRmFeUgcNtTQP+IOGCVH46bnPChFi0meXrBBhJMx
Uey+8/CYW8Q7DT1AeGvHrq6AebgRPcqCS3BEcZPSZpciqPptv0zwJLmiyN5q
V0icB2enV+d+7fVGEQdSK7efz8O34hdu14Z9ULhewL+qVOr+hrzsljd+KOST
RrRs5jy4ZOmwziYGIv/qzleipfNQPDto8+5vCPL7lb+4UDEPEd29zq6dochX
liDxpmYeTPdmpOCfhyGv/JtVAo3zUCpzp0rtVAR6/Hqym6N3Hp5Wv1nM4YhG
blP13D0D82DffzXSqDEaufJnmONG5mHKeNRVzykGPUq8T943Mw/TG8M3npXF
Ivvo77s73+aB46lZMbY3Hj1o6dWq2ZiHw2bzHhZx8ciOoSzG89c8dGi7UfT+
wyMbf69DG//mQertmfmdADyyrjG7XUhHgoNzxXu2K/DI6rdyhuNeEuQV/Mzd
s4pHlq50kmRWEmRF6X/h0icgi4L5x5lsJDBh721n8iagOyufqq24SKC2mq9B
fk1A5qJvaY7ykoD76rW+rFYCMrON0Z7gJwEpIOA5LBOQaYZj7IujJCAID+jm
UfnEZPpqr7EICT441YosnsCQ8ZGzPFynSLCja/CbAhgyMuW803uaBBmzR8RK
bmLoZtLPjHhJEniwHstVssOQYf/wkp4MCWD7Im2QB4aus9VIMsmTwOD4zUuB
IRi6pp/6pOU8CVarOaXlYzFkEBNQE6pCAsrNPTsZBAzpt96lVVcnQf7cSHAz
EUNX9mjq7GqRAPuEnU3GqDygfiKuVpdq/33uweM4DF0K2NfndYUEUr8el9wL
x5BuLYVH/hoJ/L4G6pv4YOjin847PwxJ0GH66zWDI4a05QreFJmQQPr2GstD
MwxpuREoTuYk8D/X74vTpvJMoZuUuCUJ3p967+J6BkPqqzfdl+6R4L/fLEyH
OTCkJqZQm3Wf6q/QkfXYHwSksCufVvqQBMGc25XdXQQk1S8f2PCIBBfDN5jN
sgno5Ft5q243EmzfMzsm60NAAv7ympMeJJBT2/hpfZmAuG7In1jxIQG5oMfk
1yECYjklv28rgARVPG4dm9N4Kt/IdXJFkkDmqm6LtR0erWXJ5R+LJYGI8j4q
keER2UcOL40nwR/3xgtiTfFo8Lic4ZVnJBBTcry6nIJDxV7nxkNzSDDjbL/5
mC4WvdU/9wHLIwHn2dorHXoxKP3YufT0QhJk/+KysSVEI9xnWevaShIIfgs5
vo8pCtkLya5stJIgwfukbXhdGBJuO7tttUSCJwGlalG5vog37eyk8yoJLhRs
vOUs8kYH3c7W+69R5Xzpz7tFnugf/9nQF39I0N5mRcp48xiNOkuz9DIuwEGJ
Unq9YjtE5JHiVxNbAEMx7Le613WIXpX8p39mAcYYpUMu/TSF4AbJafOzC3DC
Uy7tS/ldcHaQfON5fgH8rESdt4XsQa/+jHjhpQVwWjyV4WT8BBjsJC4IPlyA
tzM/u9k9g2HBsV+T7LQAkj4yw4XXQ6DVzedKkesCDFowR1SLhkJsQNsdDe8F
8D5hr+XSGQacSTZB96MWYDGENUZuOhJ+prBES8UtwIfet9W/nkfB8OsS7A+e
6v8p15Df+tGQkk/7JubZAvjmFxw/mxsDIp9SPxVkL8D0pP4ZJmEc7O3U7PJ8
twCTN4RStItxQO5ZHlIrWACVLGn0+UI85E0oLvWVL8Bv5zu3xY7iATc3vZZS
vQC3krNaCOZ4cF6K2LL5sABPsZ+41ad4kN0cYP7dvAC8AxcuG+/igfuvL+fH
tv/Jn5SvUfvLbxqRI9GfF0DXeTPskDkBRvd2HL/RswA2igIpr8IIUMvieoZ/
YAFe+A3HLb4jQBo7rzxpeAGs9/LRz34hQCBPPeSPLwC9gL5W9Ffq/C5w/6LH
9ALIeFfLjFJ5QVNk/zXV+QXQc/E07DyGwQmxsluM5AW4Mb2vzUzxf+dB5la9
ywvAar99I/QyBpRz9A+Tvy1A+B86C3VTDDqVct2sNxYAWdt/xWwwyFe75ivx
awEKrj0udnPEAK/zO/TnFrU+P3i3Zl0wcL3yMg79W4CaZKWqKVcMDG9oJ0bS
LcKn74/iHjhjIHdrNe3a3kVgdF4uDLTHgMciIZuPaRGajIeYT9zFYMtaqXCO
dRHm3vofNzPEYNx+tjKPbRF0lDfFhDUx+OAc9fEJ1yJY8luv+0lR+7u7VLsK
7yKcsHZdceHFINh3qPe/I4vA/tBDgW6XANbB/mPdRxfhwIRwoswMAbQjj88/
F1mEwZ16c+Z6ApzCda5YnVoE10G1p/HJBGBKcNs8Lb4IhtyJs5/cCLDynO/f
D8lFWNkR9628SIAvLz/u/SCzCGOEbV0HPgIUZtodiJBfhEsxYi0UMh4eF5Uf
5YVFiJcRKnXwxYNRxW3RWfVFKLeUORZK5QOFOoaz77QXIXYPw0kcPR62W69r
KOsvgjxbRJ3BDg5Cpr/a3L29COufBIuL38RCruKB+4fuLoLoS4uFAwyx0I1J
2n22XoQLDpJgficGBLSc7RUdFoHXKGpVkSEaKt+uObH5LAJu13E4gCcCvrr+
8Pj4bBGE9q2+TwoKBK5OTi+PlEVoZdMr04IAuHD8nLdE+iIkjvWzFj7xg6ih
J77PsxdBc9wwvbPXC0Qu/Ap0KV+EW12+Z5yMXcF0z1aUUP8ilBzp7Kqo1Iag
O3wxQ0OLMP4Jd+idoDjkVJyPjRtbhKsEfIihoTTafOCD+zO7CN4v7Jxu0xsi
/JdtrGdtEfbaRg7eTniAPiXtJgcdIMNb+ZaN6EEftPpdMFWegwy9IXE1dVRe
4LykmrbKTYbxwgS1UMcAdHc7MP2WABlUO9IpH9yD0LYlXaa0BBl2dV1l+btC
kXC1cNaiFBnC3JNYWVLCkC6HRnaqLBk6P1iS9tiEo8TmkLeMF8jwp1z9Wwgl
AkmL7cmfuUSGG/fcvNpRNDI4rHGZrE+Go39OPL3kEYOcWYLIX6+ToWK5fGb0
VCzK/7otvG1KhojbaTKYVxz6PHW+ns6CDDZPWOMe8eDQSrfnbcZ7ZHigxNTd
VohDYiU/krgfksGo+tew8+d4pPvm7Lkjj8gQJ+YYgU7hkd1T595jbmRgu2BH
1L6PRxHh+Y/EPMggehXXCK/xKMtjhUXahwxizQZcaSN41GwnlisfQIaLVo2a
N1kJaP6WnY5KCBmeUc5O3lImIPrLWfOaEWRwviQs++oBAQlfmA+6HEOGutNX
7YUwAlKTEBa8Hk+GYP6DT3rKCchSwLLWhEiGEg9BnrdDBBRwIO2WRRIZ8gtH
1tKp/TKNZvynTTIZLEz2PCpmxVDdGm+Cw0syaH0WmxgSxtD4rLG0WwYZUuyX
TVlkMfS37+kXr2wyMDQIkS+rYYivue9h4DsyDH4JMSdewpBiORtjRAEZptTq
HaavUvkl+2pWXAkZFhuG3ktfw5DHsziNhAoy6PzTiQ3X/9//jI7pFzVk4HT+
Zzqlg6Eyb0b/V4gMxuIpasrKGOp/qHM4p5EMDgpj+q+p/X/DPKwyv4UML2Dp
Phs/htj1G2+WdZChj/nLDdweDEkD7UZNF9WfFy9Lj1B5ykAK8A19ZFhnXKBv
7iSgR0J+Em1DZJgV8M+IziUgHHtNe9cYGWg+3kBPQgnoPf2f+4NTZOgSC7TA
mRJQ5w+5PRNz1OdJidl1QpyAmIaKgbJMhqDZo57an/BItPX7+PdvZLD/OWzm
HodHF6vOeP/aIIOQ2oDtvmt4FJ6cW8qwTYZWnQL9A8nxKDOWfI2ZZgnmx/ZL
C7PGoya/E9/YGJbAp7jexd4Th+gsX4sKsiyBSO++Wn6lOCR0bfrT8YNLIFXQ
f7UDi0Wq6gLW4pxLwHPtkarCfAzyF3mRpsi/BE2H8spIj6PRFpnAYSi+BALZ
VtZ7rkcg3tGuQlOpJcA5Xdtl9w1HCh2s+ndll2A7xCpA+lUYcn8fFel0YQlm
7xQdujsRgtZdgnYi9Zag339Kkv5YINom2n68ZLAE5hQu7Qce/mhv+eUwFsMl
cJru9//52hfxbXGx4s2W4JvlN+ufS55IPTiXP8l+CXqE6AyJai4Iw/qUMiOX
wIy0Ka/wWg6llFbu2sYuQTXnf8lcH4UhazC18RR+CYziCvfWF2pCNZ/d5byk
JTjIVR5tcs0UZl9vm5ZkLYEt8yNf4R0HkC457v2xaQnuTvvRnyvzg/MDTCoh
rUtw+Lr4973hAaD56xutVucSJHxe17ubEwgmStVRrX1LkCtsLHXpQTAENuo/
75pdghulBFs+FAbRJJnbhIUlOFcRc8Y5OhwS/uMVukFZAsYDBi4PrkVAzuW5
nMG1JRg8tZ8trycSuvs8KidoKEAOjOi0T4qB0U1z35cMFPgrmUfqUoqF+UPq
qnf3UaBe9EZyzWgs/DZjaZ0/QIGsy6PC7/7DAZ3/WkwWBwUmttGg21McsKQP
XrU7RIE8WpYFvSPxcHQ+fWhZgALyfq8F77HiQWxvePJ7YQrIPEtX5rtI5Y1T
Dy0enaDAhSs+kdkB1Pn0ksExaTEKrL8v3NotwcNFh3OL6xIUcGmRPsdLos6r
OL53pdIUKENuLkvsBDAv3HVyP0eBX2TF+PvKBLDtnT+roEgBrRc/OGKsCeD8
o+3nnwvUeH6aiuhFEsA1v9OIRY0C7R3fX0lT+eSxXVe5gBYFaiosMlnaCeAu
3MstrUuBVuXzQwPzBPAa73fXuEKBIg/FjvC/BPBNHBq8eY0Cba0YLd9+DPwN
RuXsblLAZ/zzWjQ/BoFME4netyjQiAn+HThB7e9NUz9jb1Og2Zjs/Zs674f6
zxq9vEuBrdnrFd/PYBCuQCovsqFATt3Ieh11PXJ9kbvpAQW+V8ZbWlLvj8mj
uA86UsByr+TJkcMY4GxXB8kuFHjF9vu+GCuVZ45+l/v7hAJunb1njLcIgI2u
J7J6U8CrWCvi3hwBEhI2fwr6U8Dg5CVrw1YCJOr/NjobTIHH9Kmlkm8J8Gzf
33LNcAq17o+ub1P57UXDDrdxNAWeFV3a13CHAKm+NB4PcBTYeWeBRckQIF2O
fsgHo4DI29PR5gwEeP19jzwukQICUr+jtHrwkGXN/Ks4jQLTzad8Ii3wkCOw
37j5NQXeP3+29ZfKn7nDByuGsijwUSgnzqUuHgr0uD228ylQ5Rv6+WkaDor3
8g7tL6EA3sQpOYgBB6X1h+WFKijAq3luMeheHFTKCv3SQlR97NMqhqyxUP31
mLFJIwVie4hyj01ioDbnRIV9CwUKeVVfaKZGw0d+cY/4Lgrw/V/D1R1P9RtG
ZZVRobJFZFSUFRl5SghJkpVsUkmFbLK3697vtVL8lJFUlIoo1RulgUQooTTN
e7n7ZuX3/fP9vN/xvOc9z3POiTJdqdyYDZ38htyhMRxvGcIGD7xfup8buc78
msZ9oIXDwmga9ESbNi9P4PgL+Ul3sFOhn7I/Spk2DTyhh0UfyaTA6IAd9yzP
DBgXbfu7yy8evhGPuCbwz0CVxpNXNh6x8N3asRlbMwO+TMK6gw7R8Oepa1ST
2AwUPtSr71MPh9lqP+4/pRkc3+n3Zy1PwaqIaC55/wx0twkVeai4IusU1hGy
5Qys7JtYuV7vjUikkFrMZgaevBsKC5AOQAq3Tx8nHZ0BsyieD+vygpHRmFsr
wXcGXFvogUwsEiVRBjYQTs6Az+3624Il0ejNvENw7pkZEDg/7EW+EoucN9oo
5ITOQM2+h0lmOQko1MYoMTN5Bq4/OOr7QTgVtbg0fc5In4GQ28cxQUYqWvHX
0c7IngEF+U0uzwfSUF7Cth9p5Bnoj7/y7mduBhrIvWGUVjQDiTsC7854ZyK5
K1vyU6/MwJFnh2vqd2ahWw9lDqRUzIBS4daXFa3ZiPaiqDT5xgxQQhTOxsTk
IMMecVbSrRmYaCo74KyTizomhW4k3p+B9UP+E2FEAhLlpC8nNM3AdFNZX4Be
HjrGx+uS8BjfNzlg3dqXh34oLAheapsBc9GtAoILRKSxI9I7vmMGchZt9jxK
JaELexjNce9mwEQ1JXgLH4YeWZ4Xi3uPr8vaJ17vw9Cy4/Tp2L4ZKH0nbf8s
FkMWPoFtMYMzoEb7bcxtwFDuuZ8yMV9mIPaHitTpXxj6GOsVFv11BpT/Hd3F
L0FGMlnDnVE/ZuBy6EL1C1PcnxS5qET9mYHX05WXCvzJ6Gblx7jIKbx+/9rr
FzPIaPae/UAEdQYymdqDbjfIaPezTs0I+gz8ThvuNXlBRvGdVunh7Bmw65xQ
k8T9zcvP7V8vzuPnwXS9f07hev3HzODi8gxY7u7+VfqXjI4ynhDDVlFAFGcZ
8OWjkhWDiVABCpiJvtz5TigfjYk+hFAhCqyw34fsEc1HarK7SkLWUsDqsMoq
gnA+Oqd+h3ZBnAL3XSxnX/Lno0Z9dZsLmyjwtebn/h8LZLS4v6rivAwFEgIP
zPyhkJH5EcWFcwoU+Nll+GFgmIyyPUodz22hwNPQDS/uvyKj3jNSd4JVKTBK
9o5Nxv2IVFQBX/A2CtTdVGiwIZCRV9p6j7NaFJhj59PFgsjoBjm3MUiHAsrD
rp3fDpARpXz12qDdFNBzu3a7VYaM9OpST54xogChvudLwwyG2l7HSZ7eTwG7
3VkK69IwxOC/VqRsSQHjCNPmbHsMbT3QvvGrNQXOjKxserMJQ1lozQZHBwpI
Hjm55vRuEnqyvCNf1IkCfCOle7m436WYHBF/40qBcfUq/SA1InJoKVpv6k2B
jf4KMmdWCCiF00Lk+FGg66mD4C5/Ao7P6Nr7gRTYm6WTateWi6TvK4uqnafA
6uD57+vO5aDvt+6tEbtEASWtE2IXMzKRxOTHzM4kCpzzu2d370UGslDjCKan
UaDIYVreh5OOaitNBRZyKbCLYPbxhVMaCil9t+r3VQrUe+q5Sf9MQiuEXwvN
LRQgr358cKQ7DGl3CcaGPaXAwKsz/3GGQpCf0PZ5zRcUIPbtJvm+PIdep4dw
K95QYCzLwGv74ElETFhm5n6iwHqPnzn7tx9Em0OkqN4sCnCFZcWu2QeBw13j
YNm/+PsXjrF8zM9DCsVzZmCRAqXT5RIC0qEwfrp6yoaPCsMyNTeZC+Fw11dn
XE+CCj3ThsPcnHjYe+zQ2GptKojpqETdgXQ4vY2wIKFPheunXgoXbM6A/JXu
TZv3UKE7cfVaw78ZMH7H3k5/H/49z+7h31ezQCyFdAosqNBe0rIpxz8bjN16
U2ytqfDuadcrZbUcIPI7PvZxoMLqj56E8JJcaBnOHzjrRAX7YGLgwEEC/Gzo
n4t0o8KhpDDLCBoBDD2d1fJ8qLCpdqhpSJMIfnrF+0sCqFBlP9ho/4IIBKHP
HlWnqcC4cLs02I4E35vcCh6HUIF/rGJWVB0DYcKVu6/CqXBmr5Bpky/uT/yG
332IpsIjdlRvWAkGXnvk/gzHUyH2rIX5ni4Mstd58IwnUaEgxVp1fh6Dxt9l
cvQ0Kgjrkdm3tpLh25OvBktZVMi8ILVr3yEyrCFvdlydRwV/2qzFg3Nk0D3l
fU6CTIXHJz5UcnNxP7P3epZCERX6zf8+XVNDhowNP6o0rlCBNbCy8K0Vz+9T
W5Def1TY8nt5IPw9GUaQ37BZBRVaPDyedgyTQbC4im1zgwp1A9JaPbj+awf/
FnO+RQU1C9qd3EkyuJuravrUU2FMcbF1CV+nSQcePHufCu4XVthKf8hwd7bG
L7KJCoHtayh/R8kw9GriUvJjKnhmH7HM6CUDb6nGFcIzKpQqbr3dhcigFXqm
8XIbFfgCkzq7b5PB7eDtD5UdVFic0zhJJJMhRWFmuv4dFcKKeXUlw8lQx9wh
+Pg9/jwRWw5yJMOnd8FbXvVRIb69K7NQkww81+tNPwxSgfmfbVkpLxm2R866
Dn+hwrrIQfGcAQyc7HZd/POVCuw8wYqgSgwSlUOItB9UoBcoStgE4/7ib8Ot
xT9UcHher6eri8FAD/2V4DSOx+CQ9alJEmjEXVyUZ1CBPLbuQOQXIjgebZTU
4FDhiZkyqd2KCPHqbB29BSoUnxugoLo86OuPPG3DOwtWECLr50+AWM3YwQiJ
WQjepaX2IDEbqnlbaUmSs1DVFyk1+SgLeoYWRQiysxDpJKihMpkJKumXzCuV
Z2EtddQpxCgDur8m3evRnQVrGSp3+38p8OP3aXqhwSzwCj18lfckGTgzDnon
jGfh5kazozoDSbBlQal5Yv8sCF5rSFiYvwSRkm3PeY7OwpmX3letnCJB8ciq
Ht0L+Pvb9jRO8h0HfZep9fNhs3A5pJBo0+sAtp59R1HkLBjIOG7R0d0P4Wcr
Bg8lzEJlwTameACgt5n7vwbkzQLDW/5K5eEAFPYimVJ8B9//kCZJ5Y9FmW/O
7PS8NwuyLOHvcpQ4VNZzNETl4Sy8LuTuc3l/Cb0Z3cK692QWVHYe8N/2PAnJ
z7ctvn03Cx4uH3Of7UtDOjy395Lez0K//fKl1VLpyGp1fqJz3yyEpZVe/DCZ
jkI2+fH9HJrF50nJHdWETNShwyuyOIHXc7N23uhsDhreM23XNjML4vopzk+l
cxENPhIz52Zhw12L+yEvcpGsfaXERu4slBkM7x5bJqBdzjlOwwuzUKMUHu5U
kIcsPMKKr/+bhYQ0oelQZSI6H2QuqyU4B36KJP3tWiSUGrrdgyk0B9KN/4Zz
akmoJFqi/PHaOTDp/XuftA5DdxMXxhLF56DIzU/tlCWGXmb83GK1aQ52Lswh
FI2hobxOf1GZORB+p7aHWIuh2cIHNz7Kz0F81Qu+twMY4iu7OlGiNAcyv4Z8
/JcxJF2Vss176xw0GQjYuyqTUdjyL38JjTkwan4ouGyO53NXy/KOHXMgpaP0
R8yHjNQe1AxF75qDe+HrbhBiyChJdM0GTT18f2MJCiKR0XDgmcNjBnMgGsB3
tqaCjPTbOjPzjefA0PDjdZMGMiLKabZbms3BIdcuSfVWMpqIyFv6u38OTqfv
sQ1sJ6N9vbMGdZZzwKnNDOd2kNHV7Q6h3jZz4OFQVvIFX7PS7t+RODwHnytv
RYriz9uPSYx3OMzh+ajiMvaEjGqNwpVinOagMPT1gVP3yIi3cNBd020OKiR4
svOvk5HHrEHR2Ik5WFYpNdlEJKNH1iUf8r3n4LFf9RQjiozEquaFrPznILDj
8twuLzIKWna3mA+cg1X3unz79pHRK9enCXVBcyBEa5b6qkhGmx8oPPY+PwfJ
Nkl3jy9iKFo0kSkRhuN9PDrCvh/3Z4HftV5HzEGZamf6y5sYypCrqtS8NAfM
t3bnHa0w9D2C/+tY0hyonpPdkCSGIePek1IFaXMQEXx04527JDSbpkGYz52D
/eNdDfaPiMh6LPt1HWkOJo0cVGO1iajSaIbHp2AOrvTXfHOvzkPOs/URr6/O
wdNCCc+GGAK6a72+IaZ8DgSSpQv9RnLRmqqQac3KOfB5dPW9hWEueuqq511w
aw72/c6a3vItG21ta7H2aZkDNz+7cFNKBkqQk03d8BSvpzm8218lAw1FxD17
jeag+YXCypRzOiJsN9PVejMHdftpcc/rUxGr4KXcwiCOX0hZYLBWErKf3epS
/2UOdmXw3/+QlYBqrTMwn69zsFZgq6NPQzzyWLYWePN7Dv57L394mBqNXgb2
zBYw58C1dUXFWisUvSujfC9eQ4OvoRbHKeU6iLFJs7tEmAYeh8/e66vSAXnS
2earojRwb0pVlA61hfPJ03nlYjQYL5TOfNTlBRKBk8Y10jTQPtfmtt83BEzG
1NVqZWlAKFTuWJUWBgFup8Rvy9PgkbX2UY3KcHhkOz5Rr0QDHRo9htATDe67
fhc2adCgR6pwXXlwEqTWqiQ1b6fBa5FNq44HJEPdFv+zjzXxfc2S4eeuKfBv
w8/9z7RpUHP33+kS7TRQz9uihXRpMPbUNbFoUzo4CPpKt+nTQKp5KcCBnQ5V
f8dmX+2hgYu2z6JidSZ0hyoOvzamwdpXWw6+DcsCzrRXx1tTGjQfcbntbJIN
1l+/lnbvo4FjqM6Sy+McCHVRyOwxp8HUrsXwoPO5cPWDR1ivBQ2q2M07KuUJ
QGkbsR6wxs+nmXD/A55XN5nI6X+ypYGtcmFy2FIemDW6Kw7Z0UD4r1lLQR4R
TmldFR62x9dGCV7rpEiA1XxhjzjQoPdwYSQqIcFjRZkfXx3x7xs8pJgLYfCz
xK17zIkGR10PGWwxx0BUoqT5hwsNrgi58lIiMdid+7nylxsNZDyX24pu4n6F
X4r4x50GD4LS58Rx/cy65BIz4UEDzxa9Nc5LGNznFAVMedFANSWo0kmJDMMX
Bo/M+NBAIMDPdfU+MvBNbTSh+tEg4mDG94ATZND0c1KbC6DBzvsJvIFhZHAe
KRCnB9JgnWNuOX86GRKc+pcYp2lg3QwNJgVkuPleYpIVRAO+oCdWq/8jQ6+V
Yz8nmAZ7HPSvBFSSYR6Rn/89T4ONFsrUo1VkUDbqu7UQQoNULY/GnmtkOPRA
rGgpjAYxy5ywkctkCN/hkPQvnAabf/B8jMH9Unk16SxPFA0OOwSU1MWS4Y3C
BxfeGBooxkJ11Eky0IrXmfPH0eAc5+LSGO6/ZMXstQQv0WB9YGvjjBYZDmTn
Sa9JxOtJYwhXipAhmPc9n3Ayvn4ubCPyB4OiONE5kVQazE3ZD2k/weA569Dw
2nQaFHQW7lbIxUBsorNBPJsGCTUXymOUMLj713MXPYcG3661tMJHEhwWptf3
EmiwpYKPkOtBghwtqTskjAYGBHmdLA8iaMDtbRfycT5NTwaEfMyDNw57a+0L
aaC2mlrxen8e8If731hbQgPD7SQR07UEqEznqFCv0EBs1cXT5WdyYf/l7Mru
UhqEnZD4ykI5kPDk3rXcazTI+zwSueFENszzLF0Ruon3p7H/+fAjGVAiQZKe
qqVBQPVXo67EdDDYqnz57W2cf090LHzvpEH4QevCzLs04Nd2zxBkp8BsXiFR
4BENOvfTp+TvJcBPWa3UVR00uKpZ9O6u/HlI0nyx6sdrGsyqc29vXRsEimbH
kl68pYFpqNWRPu5J8PCNuZTYTYNM/cTBbwkn4PPNjqjlfhqILssQNCIMULe+
V/D8T/z8No7J/96GoiAr+vTQbxr8/nY8Vf7tRSTklnamZZwGll/W5fS2RyCr
uNuBUdM0SFww+7f7Vgx60cbxYdNp4JM6rzVdnIS8+rPHBpg0aPT2dnyWkIyW
f8t7NbJpoCRFflfjl4KM1xw4cXGeBjSf7CiaQhpqsic503noMHJc/uayRyZy
0NRRnuelgx7bdMBCOwtNC/XP8gjQoaH0/APN5Syk1CGZJSZEhz2OblsEU3PQ
k8oWJ2kROvxICRogmeQi5yT3LUpr6aAf9/W/aUouyjEpf7JLnA58/K7drkZ5
SFVmX6bhBjpMa/KaiQ/koRecH8dgEx36ZjLpU4FE5D6QqnRQig73JR5HPaET
Efu+KtVehg6nH3jGeIaTEEZ689hFjg6vvlS/uzdLQtvPncnwUqDDdzPjndba
GOqwFTkWqEiHltg3BrQADPlo1Cue30IHyWOp9/cXYWhR4AglQoUOgQKFSbva
MFT8i9ZySZUOK2YLFfWTGNJuy09PV6dDWJ+DzX0RMuoq13fM20aH8zF7P2hv
J6PA+E+bi3bQ4TrlzksVCzLicY+eKdOiw731LeMpx8mo1FC2pXoXHUxkm7Ws
8XxvsOlpWp0OHdyfpbw7H0lGfQzPo416dFBZVS7PvERGwb0rCk930yFERL7n
YxIZCd6tmH5pSAcHJcFG0UQyqsg90NxlRAeDluvU69FkZHrmT2q/CR2eG/95
i50jo09WmQ4je+nQuf7A6DdPMgrduk3hF9CBVJkyR7QhI1Herqnp/XRg3BoU
rdEmo5tjwY8YB+hw9Vhy+PYNZGT+bF3qgiUdimkO11ToGBq92nCE15oOOmgY
rnZiKCraUV7Ylg6NGy/rlFzDkIQLa1Lcjg5+mxJKNUIwVKdX3CRjT4dE2cEX
rqYY+jn7xX6bIx2w7FjrfBIJXeqOk9NxooNh7+77x9aRkPRthck9LnRYY7px
qSuNiA6f9E22dqfDqfFHny8ez0OT5nz2Dh50uOOkz6U3E1CK0g1ZNy86iAet
1361joBaRiYfnvKjg3eRoo1MTQ469jgn6UIAHTgEe/fF8Ww0W6x5OCqQDmXj
p3/PKWUjFceQ8YwgHE9nwbe/kjIR8S1XuiaMDk6ff9mqcFPRtporf+rD6VCl
+DW5WTAVvUo1edAUSQdTZb47OuIpaN4s8VBHLB1uygTOfZNKQgFNggm/U/D7
slmTpzkRhcJ3LH19l0aHoozWswKTESitgr73XgYd5nWk3rf+uohu5I0ux+TQ
QdRIrtOm9AIaP/ng0vp8OjyqSrkc/csTnZL0umRcgfNvUTUXOv0gmnDsq2IV
HcxMt0nv+xsIWbw2ewVu4PhS+ts/K52F2lm95Q+1dMjdbhVDuxsKk6+FLp1s
oMMzix/XtjyKgaCopngM0aHbu2GVjXkaxFJvj0a04XgdSH05LJcOOf7XTU+8
pEPyG+u352jpcOdI7pLqGzq8PXpr4X12JjztSPIQeYffz1Gz00b2WdBtEvmU
1kmHStXUez9Fs4Gi7hvf2kMHIdOfN42ic2DpP5fR6710qEtj2mBbc0F0o51p
xkc6qCv0NEd25oIWj+GSwye8Pu92WWdeXP8jNT0Mhuhw9v1vft7CPLCnbHkq
N0yHYLG2B7WbiXB+SDR+/Csdjvq1a3tvJkGCPe9o1xgdPNg0JZ0CEhBfcU3u
/6DDSava/H08GJQbU0uLf9GhIM/CTVYPg3sNPxfj/uD356MQL+OHwQu1oRO+
E/j/U0rTdPMw6C1732o1RYe8xV2/3Bsx+C7xUk5zhg6Kw62crM8Y0LJa4sSp
dJBadJJo5GDAs1I/wpmlQxN/UtSAOBnEIqpMRml0IE80+v/SIIPSTElpG4MO
uhvn+UZMyKDtS1ysYdEh3Kch45EtGfZ9Tj1B4ODz7PgzkTBnMjgcjmkN/UuH
j+7UR8IeZPB5eV7OdYEO2XrXrid4kSHUKCDOdIkOUR71v7vx/a3Hi12l/9Fh
cQdZRsGVDJ+i3+qxVujQpqLEDj1MhuyShfW9qxiw67tywHsgg2mLJuUOHwNu
7nxhrLuTDLOfvd5mCjCgXKjZpFqaDBVcrNp/NQO2v+ET1ljBwEnqZRIIMWBr
w9jelz8wEDRke8iJMICqtNU2/gUGLS7qRlxRBmRsd811L8XgbOTxTf3rGPDm
0/NDgWEYbC7Opd8VYwCRr6661hLHt+nZ+xwJBjSpiVbt2IRByuDcrcCNDCg5
OOrEaiPBbvaWDHNJBhy9ND8OjiS4qp9htiCDP3/HwNTGkwh2Ti2yn+QYwHxt
7Gk2lAcrF6c59xUYcNoxZcTBLg8CHtrfO7OFAVN681H2SgSQ6k/KtVRhQM0j
4Z+XkvAWYjw4tUWVAWNREuLHhnNgl66U0hcNBvilrsxnxmXDz6M2S43bGfDS
9sknw5dZeG6LG8I0GSCSFdehJZAFCw1jmLU2A768mNQujc6AV7tqV7UYMsCW
05ZPUk6FyCPDXwuMGLApMdAuZn8KbLsg+uSCCQMMQlaeq3skA/FuSJg6MEDW
3NbJXiQR3LSMfhVbMcCMMbUmwCsKqNs7X0U4M+BPu/Fq8WgPuG67dP2oKwPs
bldZ/1V1AsegnZe0jjPgYFlOjUf5QWi5lb/7jwcD3hb33ezL10MpGidqnAIY
8GPz9uAyKX8kqUbJ1LvIgMlQk+jKmzGoQ1zrgWEEA6z+xsrEPY9D4cvnRk2i
GBDLpbo3vL+E+gbmtC3iGOD/9VBvxFQSIqQyvzilMmDVkv1gRWMaMrmgz388
nQG/P31xfHclHU27R+z0zGSA5sTTtIXoDHRQl5tyMpcBG409jFO3ZiHeHws7
IgsYYMwyZn3Ylovud5u4xBYx4NJDhT2jQ7nIpyU+KeEy/n1Fnjd6SQT0jPRv
IKMU54PZd0mR5jwUHAcrOf8xwKNN/qKeFRHJnkraRrrGAIu1ckF/u4ko2ow3
4XIVA67L/T7S/oKE1LYfqC29wYBHzhkKbZIYGtyU9vHaTQZ07ZkJvG2NobRV
HUtVt/D7ubWpa10khnSpAuq1dxjwNdjb8Uc5hn4MWR2tq8fftzxnKfkSQ9ir
zLiGe/j9d1zZXfUTQ2YNb2803meADSVhMWEZQ9RSod6Whwy4w7J/XoHrZVmm
7cLTJgYcaFvL4FclI9uLuVvbmhkwcvqVZ5UOGc17ddt3PGZA0LkImRgjMqq1
XRvzrpUByY9kC1JNycjFwL7q/TOcD6e9CG3GZCSgTHrfhxhwodh5s54+GTWu
7eUOtjFA8qZg8xcNMvKbF1MefsmA3OJBuRZpMhL/c9TuWwfOt8djgR/5yOhF
b37kzzcM8PUVX7NzGkPnn/ZfH3/HAHdPz/a+Lgwp1G7smu5igHDzm1sdtRjq
LnBmz75ngLJdlNKGZAzFJhYrMj8woJq1+OeVE4a2nf1sw+1jgFGZ9fS4CoaG
XKTDF/sZcC/RjyX6lYQyzY+Xrwzi/R77wTPgDAkZ7Lz6lm+IAVG/ReKZFCIq
EJBXEB1lAKX6nojFcB4yp3scFPuGn//x/LCDRR6ijf4XuvE7A9rVPrpq1hCQ
faPia/nfeL3cuF8rR3PR8jUfmtI4Ph+eCDKcy3JQXW6FrOokAxgn9mYZjGUj
IX+VC1oU/LytTzhBR7LQK3F1aTMW3p9FsSUjY2losqh1UJHDAEJBUEEefxoS
lXUoWPUXnw/76KrHt6YiZ+WYdR2LDOB+ZrpLuySjcd0ufjs+JgxoPBCYFotD
q50u0I9LMCHqtvX50ciTSHOI757JRibU3DitIAK+yMGjJFhBkgnSKP8dV8Ad
lQS0TXyXYYJsiBDaI2SONCI2fDu1hQm373X1MFcfB9vi5s4IbSa0cDN5Nn2N
hPOydlmuuky4yZ/s6DUaDfnl3y2N9Jnw7KdKfcpgLIzUCLUtGTLhlMDxq6cf
JkBw84nmVGBCqNNu551rUgEzoYWf3M8ElbXumwsnU6ERpekePMCE3RETpiKv
0mDpTX298EEmXJ7Urzh2NgPyhlaqyPZMkDIOe3o9IhseeBT6XnRgQuDnd19H
NXLg03cNRWdHJpDtdo9cGcyBzVNHr0q7MOHbF0ffaVkCmJ8bd11wZYJn8QUB
zYcECKTHbho9zoS000u9thZ5cHe+CrvmiePhEStOciDCx0t77JO9mbD5s2pV
SBcROKvei/j7MsG5rqzmphkJZDN831n4M0G5MLhf8jYJQJiToXYSP3+efmCf
IAYBxByLNaeYcN1TYeMVfTyvSyjyTp9mwqrXM09cvDCoK36IuoKYYPxNqmol
FdcbWetL9cFM2PXmlWTODVy/g2ayms8zIUhLOlC3AwPxVmJhWwgTRGE7RhvD
QFdE93pXGF7fvRCnp2wMHE8M3hkMZ8Kftqg/REEyhN2Jbh6LxPGUvTPhJ0GG
/EW5l1PRTEhYuRyjL0OGB4dQDzOWCUPUCs1VcmToL/UbXo5nQrjBothbKTKw
ZgTGVycyATn13cpeT4aNprfo4slMoA//WzjISwZ9gt2yXCoT8vYuxgrScP0d
nVujls6EddI+ip1DGIRrFmzUzmSCkHjz4StP8fwdb6BknM2E82rvZuNw/X3U
/WWHRS4TGgpW28dFYPBJ/pKhfR4TJiU3m1baYsAJVjrgRmKCgNnvqSVZDCSf
vbT3IzPB8d9Bls57EhisPeUeXMCE5p6YeeETJHD1FA6MLGLCXB+z/sYYEaLr
60OTLjPB8pNTh+oJIpQsO1zKucIEu/WVsfff58HQf5cLy/9jwtXAgsT8EgL8
pRpfr73GhFhfvYL99FyQMft250EFE8x6i/rv7c8F929bX76+wQQHQtZMSWc2
jGx+QJ+tx/m8ZfZIV0oGLJ13Xv57jwlWt7vKSdfSQR79XcP3gAkps6QiSlMa
eHjj0fURXu/K0o703hT4dq3bHp4zoTzUScom5xJ8V5q4Q+phgkUCyail/RTw
hOY0X+llgulyxZXy7f6wpU3rZdVHJry99jH/uown+PmGDzd/YsKy/c8nxyQt
4VfFKqHv35hg0KEVZVnhjsaV5QO153D+RKzpiH0YjW7JL1G16Uxgz53zv94b
i4IlRyN0mEz4rnKnR2g8HtGFytJ1ufj8MFRfez0uCS3R5G7or+D9YjvJiTya
hp5PL2ruXsUC1uOY9pk96Sj590jjbj4WrOxcOrRXNgMJDpW+MljNgvE25arQ
d5lIHMn93rOeBUarTi+c7M9BAy2LZ43EWXDE7XXVYkouKn4wwjTawIKRnTWb
L28noON1rXHGm1jw7m67xupOApKvKeUzkWJBgfPUe3nfPPTtWlyuiQwLKP88
s+7M5aGKKyc2mMqxoGXHaePsCCJSy5NT2avIAsPNs81FgSQ0lbF4e+8WFjiG
hKzE95FQXdKIrpkKCyJHM1XzZXB9iW19YqbKgudZqqbNlhjSCS81B3UWDIas
Tlc6hyHWubhO2MaCTZEM9XYShh6dOuG4bwcL6ob6asj1GIrxNRnep4XXO51K
T3+NIdMTcn77d7Fgd+cGt8vDGFpxWpzar8OCs8Fu5WgKQ+32I6HmeiywW5ih
zDNxfbdunTffzQKZo3t+m89j6KB5afIBQxYY6OQSSvC1sGmckIURC64pbDu9
wML1bvcJsoUJC6aDf/qdmcEQaZeJjOVeFjR1tv+cGMWQ4za5CktgwcQNYnPM
OwxtUlnUsNrPAn5F221b7+P6Jz/SYHWABYLht8epBRi6Ktm656AlC9IU78uO
hWLIU6z0xcGDLEh5+Mlm1SEMKQnHWVvbsECocTbCWxHPw3wneq0PsSBpuJou
8o2Ebiwbu9kcZsGdxuvbBcJJ6DRX9rvNERbI14RPvOUhoR30hVO2R/HzGHqJ
R+P5eHZ6eM72GAu+dDcFGazkoYvfrq4ccsX3E4uOxQ8TkMFQbKbdcRaQwtQO
u5kQ0N8+9/WHT7DgJK+3FKUgFyV0yCrae7NAciTJcUUzB+1DCzX2vizgy1D9
NH4uG/E9Ht55xJ8Fup9ubHa5mYWy6q6aOZxiwezWWyZN/JmooEDWy/ECC8hn
lCNtQ1JRt6p9jHYoC2py80tfE1IQf0ty4bqLLFDeuHUwuToZhY9OdnZGskDH
qbfBKi8ROak2Gx5IwP+/XbK/piUKSTYfE9fPY8FWsYvyq/Q9kL1NpqYEiQU7
Vl+VbKw5hjJGnhykYSyAJZnD9zSsEHdlS0JdIQtqMx2WZ9z3wJA1bXprGQta
90Z+19oaAFeGCa823WEB9c361mu5sfAx+MUYsw7n71TopbPJ8SC8wlzou8uC
vIabnE8XEiBW5YQO8QELUv1tz1vJJoN78LZywScs+Fk1uMi8mQb5/zwe/25l
gWXzmSxCQjp0YthA+zMWnOtweUc+kgEmTVzhxDYWlFv9ZyL0PRPk/3VEcd+y
QDz/8mexphxwwubzBztZ4L2ScSnoeC4QlLXuPuxmQU8Eb+1NTi4sWxX+vtDL
ArHix1c15PLA4MublcMf8XlQsGeLYmUenD+7KKs5wAJ6y5UXXluI8I3kd3Ty
Mwv8pMZc9NeQQFK5OPj1FxZcjLKdI1wggX3ju8zqERz/zZrchz0kyLBarkz5
yoJTD2kLbyQweD6k/dxnjAVH7S37+Y1xfQgK+GL2gwURhT9pAp4Y7Fy+zJL/
hc8TN5kfbXEYBJK61i/+ZsFSjrCldjEG17asbP8yzgL1vam/beowGEjcXzg2
ifcjtyLCCWGw5lvq8p9pFjjJhf8zeo+BqenrQAqFBZtVsl6zBzEIubqmlzGL
81284GHaFwyq/9oazdNYcGh/h9EfPG9/ccmrXGGwYGeJ5DmpPgzWNX0QEWTj
/RMODHlcv803SESIclmwff4/0fmHGESGOn2TmGeBp6ofueE/DG5/KD4os8gC
9/gPczYpGHzT+tKguMwCPdpN9fe+GGwgyMmqrbDAtTVs8IApBtbTnqmaq9iw
KV1p42NxDOKtr1N0+dhwl1B68OIrEjTU/HQ2EmDDU+1VQTdxffzNr4pgNRs8
D57bunOKCNL+pzSshNhQHPeSu+0cEQ633SLbibDBW/6Dx4uJPHh0aWfA8fVs
ePOEL923jQDTIyHvvcXZkMheetKB59XNxg8NAjewQfrLZfOoqFzI5BgKXZRi
g5GYcV2BSA48dYoNi5Fhw5jlqZZzNtlAe/B0JFGODf0B/ecuJmaB24X9dwmK
bNjtWdG8OJAB2ydtj9Wos8HtkHmMq1YqeFnlPa3bxoZR3XzHAb0UyK/+oPpw
Bxte/OMj3tZPhkUfp79oFxtSp3g+wOEE6P7i+d8XQzaQG9O5/rci4EJXyISo
NRsGmYyyOQ9bqN720GGDLRuSZHw2OUbshKFM9mMZOzZobvnaftjGAO2ziCWo
ObCBc3fKb5udG5J4lqqzz40NZtvfBDyvOY8a7xbHXTzNhueTBufrfJKQ1w3N
aNcgNvDnZXF/OCajNWXt4SbBeH2f+Drc96WgE9mz5/hC2OB049g2CdE0xJ+U
FjQRygaTxk/KH6fS0N1I2VNdF9nQIKFjM9SWjngDrHwKothgYZ1q0umdierc
Rz2iYtiQInal5oBqFnI5Gnb8RBwbblZFlm3+nYVum5U7qiSyQf21CUn9cA5y
2q1/ZHUyGw68XDlN5+Sgfzs6D82ksEFbeLDS6UouOirDsXiYwYacuI7L+m8I
aGE9Yf/lLByvsVe6no55qFpQ2Swuhw0djwr5owbzkP1ys7E3AcdHJtDX04GI
/jIPGx4gssFuDXymthNR5fQvPXWMDfEKcqZrtEjI7keMtkg+Gwwze+4TiSTE
+bxea66ADcEHWppOTpDQ9Z4b2/qL2OC/a5/YEzkM2XaYqDVfZkObUGvpUcD1
trVPufQKG7YO8Thd8MJQ+YNTiomleH1NnoeFY3B9vLUs5/8fG8LX7R2UxfWY
dq1A+uA1nL+FWPzV67ieFW/btKOCDZ/Oqoin4fqMRzTx9VVswGIHavubMDSb
6ryOWc2GmJTWkozHGCqJnRH+XMMGpVz15NIWDJmHJq9urWXDhEe1ucRDDFFO
SfFfu80GY42bwhQ8bxZ51fOk1rHh8Nscqx1X8XztfGA58C4buGbkhv4MDE0e
+jJv28CGJ54S+6bPYyjf/AJn5wM21Iut2hvhiPsDIwGmRCMbdFfuKsfrYGh8
V+kcp4kNzRLqz1eL4vldTYcy3MwG54ibchavSMhY4c3k88ds4BGMra07RUK/
N3j+qWzF679WJufHS0JEYeaPjGdsuC4W35VYSER7VmV/C0JsYMknk1Q2E1Hu
bONn3Zds+P6uXyFJOg/p/7EdkOxgg+md7dpJ2QT0beR778JrNizZ0d8WMnKR
7jvRzvZONuxc09pRWZ+DRlHl65puNszuv2TMXslGGY/2vMzpYUP0uja1dYey
0XBVwFPHj2ywslL19ujORGlXF1oMBtjg4TuxuMCbiXaSsSbZT/j8CEyr0NXL
QMkJT+/+/IJ/7wlV1ik5DWkc31gR9oMNlnmbWtePJKHw+XGZw7/weaFlvcDq
T0QvrjzOV//DBvo14WTzqUvo+LBX2ugkG/Ze6z19bCkG5Zy4dcqKxoZrRL1P
yv2haMbTbKfsChvM10vo1dHU0Z5/YjdZPBzY2C9+5Ha5AaSV/1L8wMuB3QfD
It5dtgP5sSzxNEEO7J9NMYzK8AY7n34WdS0Hzuhtqe7yCYG7fqdb2+Q58G6f
/HSvXhIs8Jrol23mwDHRoZVDKslgVbW2PlKJA3Yd26pV1uF+/teD8h1bORDi
f2zr9EAqbE9LlxJU40A3r4OIZ0MaRG51w76rc0CR79Fj/Yx0WH9yObloBwca
Ts75b1fKBA+B3oULWhz4c/eW1dCvTKi9UXnRdhcH3M8OfhOuyIJ94wdPruhy
ILqjsVB7dQ4QMmS/fdHnQIb7m8C2ezkwpEZ1aTTA18qu4RJHcyHkVL71GWMO
MJ0v3bK8RICnq0+2HTDlgKmxhMjg6jxYU2tovNmMA/a3nuxOzMkDJ2vhh3+B
A3rHspYVBYhQMTm6o38//v+m7FNFUUSYzbpXXX+AA6y53TfQDyIYb0tRyLLk
wK4ro1rJB3C9fudU7HeQA4NHtzY9LyPBxzPq6/facGAgtt3Km0qCzcILmVKH
OLDItZSvwfNc0O1uHoYdBwzNp6r24Hr+yPZaTLc9fh+q/Qe8nDHgnQll1Dhw
wNgiG9YHY2Cfa3E22ZEDzRm7hC0TMLi6Q+r3CScO7JO46ryQi8F415SHgQsH
LO/MCe4owkAv+OmgmBsHProqWg5cwfVx6L+yDe4c6HGbqmjD168sEv0lPTiQ
f2Prd9dCDETv+2yX8eKA+FOKdUk2nmcVzOlyPhzw/rB6LD0Gg7JslZbNfhxw
VtzoqRqAwR82f+KWAA6suMXrXbLB/YffuOXWQA6U7f+RUbQN1/eeN6LqpzlQ
EVigHc2P+xfjW/3bgjjAuWBy1reRBII3c65qBnNg1vX5lRJn3P9sCPbddZ4D
W/Ttyx9SiHA58bCGbggHJA5gyf0xRPg+s3NOP4wDxRo/Y+WX80DDTeyRYTgH
PEWMBB9F5kGLdv+BvdEcqJIdPZh1mAA8/zUK74vlgMqhrxGKd3LBWqi4zzye
A+FD/iKvVnLgyw83b+sknA+x16YlSNmgbG+sdiiFA8KnNDfpdWZB0BM56uE0
Duhk91jYLWfCQv632GNZeL176YwwuwwwX0H7XXJwvo0PXhA5kw65ZyvWHCfg
+L3Ma3+QkAbyFgHFXhgH3FqyH3sWp8Be9tT9MyUc+Eb8szKwEg8Zvl3RwVc5
cO7Wuu0eI7HQ874OLpRx4HJf7m6Nu9HgVXPhffh1Dmg9envG3zQcklzZk4m1
HLD4j6SWrhgI7Y95lIpbOPByKHxGZZM3Elb7OV7yhAPLB9d9VzUKQI75L+tL
n3KgRMSoW+HHafQrKMOk4gUHqj1iiGSRUMQvL+pa95YDQSZ3ZV79jUF2WVSF
e50cuCP0NqBUKR4VsXp+3+/G+/vOa30TSEBq78lhzb0ciF0YiRfclYwOJkgR
24c4IBBb/N/11emIP9VusnIY58O2U3Jq39JRe2ayeeoojs/z3VuD7mYgM/IM
58B3DkQ4VHiASRZaKlI6uvUnByAneMKTm4WeXHW+w/8br1/drd+5LhsZVCPv
jgkOxBmN2PPy5CJWLevxjSkOXPmsfsypPBc9qN+2MWOGAx19R94+0SegkAde
5wOpHNjgpz0p9JKAtJoL3lrNceCs9SGQtslD061vldXpHPB59a36+es8VPti
OX41E79/XnLgkAkRBXbofp5gcSDy2uK2A7VEtLXzlM5bDj5vzB+pj4mQ0M+e
stzavxxoV0c8JDxfX+/v+5O1wAGXhO5FwxYS8hoS3HdmCee7QPWsDw+G5L6a
XLX5x4EPJvdzRZTw/PkjhLWNhwtatgPHJUwwVDx+w16YlwtBX7T0zx3FkNPM
cO00HxfC1DYc2eSPIQnaer4uAS7wLW/QFQjBUC/LwvPOai4EnHn+bk80hojz
Mc25QlwQ/3vbsT4OQ3b/7ooHi3CB6bIp0jcWQ0J8v8/areXC+qyVHc7hGHq9
Wua15noukA35RrLP4Plb1F5prTgXgrsUjXndcf0XT42lSnDBO/1dULslhngk
Wwbeb+SC8T7lXx80MfRclrrzriQXOAO+sTrrMRSvqJxNlObCudW0tm9fcL3e
6vrrvCwXPOPc9dUIJMTVIOw9Is8Fw5o8lSO7SahRq+3yrs1c6PpVOBg6SERh
uhz6eiUu7NH85XcrGM/HJj41vSpc6ONErO1NykN1+4p47qtyYSqAX5b3HwEF
WXa6k9W5sNu1r74njIDG7fXXO+7gwroBxxtDB3JR9bEzZ3S1uNBd9jM7+HoO
8nMrfymxiwvnPzIXD7Kz0VffNdH9unj9uQPtpVlZ6Grg3o8P9blwbLn1Wfyb
TOR2Nkyz0IAL1ZsWQiNXMtBA+Oh3J2MuSIavky87kY66MxtsPu3nAoPvCym8
Kxk9qXeT++LABQFnypmF7IsoPYDnGN2RC07Re46Wa4QiB7naHCFnLhw2HEwQ
TjmH/mRx542Oc0FXueO0YYc/EgsoHrrqywWe6vTGCw1Pn4/Imok99Mfr2+Sx
2bvjANT0/TnYdZILmnYBBbS3x8AEdjcvnuHCp78b7GWe+0Og7ECRRxgX7suu
ZrlmXASdvrj34eH4eV+E0NO+R8BSpopAXiT+/Uzs6gPdaCCzw8KfxXLhRcSj
tXda4+Fpr/ixzalcqJle5Z5RnQKZmY9zDNK5YN1QPbGxJhUczXzb7TO58O/w
QsmF62kwcadBJzGXC38Y1ADZhAx44Od25nIeFxwe9f957JMJ8TI8FfdIXCgp
aSp8ZZwFEplHxL4XcMHVvyl+pD8bvu7lHvxbxAV9taKBI/k5UMsqTxQr4cJR
0t8PK1a5EHbHqlnjKs63OPKOWnou7PWbnd1XxoWy0257hPIJsEamWO14Oc53
K/4NE+p58PHDXq/Q61zYz7f3utDDPPgv409RdiUXms5FNJvqEeH03rz3FdVc
8FpH0XCoJYIeS1/gSQ0Xbhm8+CQlQYJ/t0dNP9Zy4YLDk7dnQ0jw1jctfPo2
3i8LJdoaL0lQIK1Zx1vPhTczca8lBTDw+tD/S/YeF9jWwXYNyhhoZMTJ6d3n
QrPB3F5nXL+ZpirHDj3kwkZFKaelQ7jeMTtz/Ju4kLbnQXa5KwbZt8Pa45rx
+3mlx2+I53UnX9mFgsdcyBHZo/PSA4PN0u06da0437cL1Ju7YDDVc+bMq2dc
SE7d49mM62tjunjFKOJCbvxbN1VDDBJMHw+x2riw6ty/xfzNGNgwfcTWvuKC
b/aVwTU8GGy8vcZa9TUXHGslvVWaSfDNpyFx71u8P5QThCL8SHBLyq3ZuZML
hDhpCVVeEoT3rMye6+aCtIiGmEsxEczSb6pl9HDha6+74i5FIgiZHvEq7+VC
x1m2/UhZHgwwOEWPPuL8kT6tkbM+D8pvlb/vGeBCvIiXwoUoApzxsRKY+ITj
ORbY3DaQC/8DHi6X/Q==
        "]]},
      Annotation[#, "Charting`Private`Tag$238377#1"]& ]}, {}, {}}, {{{}, {}, 
     TagBox[
      {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwU2Xk4VV8XB3CUoQhFxjKkooGUWVhkHhKRVPRTCaEyz5ln7r3nJpIoJBWS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        "]]},
      Annotation[#, "Charting`Private`Tag$238423#1"]& ]}, {}, {}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  ImageSize->{585., Automatic},
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{
  3.786357160991861*^9, {3.786357216985114*^9, 3.78635725526075*^9}, {
   3.7863572980222363`*^9, 3.786357336183158*^9}, {3.786357368917612*^9, 
   3.786357387248591*^9}, {3.7863576015843277`*^9, 3.7863576067275715`*^9}},
 CellLabel->
  "Out[227]=",ExpressionUUID->"fa33ce0d-8a25-44ed-8879-a35a6fe65e5d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{"y", "/.", "y1"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7863569727011924`*^9, 3.7863569939608297`*^9}},
 CellLabel->
  "In[161]:=",ExpressionUUID->"f3f1b7c9-7667-4007-b093-df9ddaa26fa0"],

Cell[BoxData[
 GraphicsBox[{{}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 1}, {0., 0.}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.786356994767671*^9},
 CellLabel->
  "Out[161]=",ExpressionUUID->"75634483-f06c-46d5-b81a-c9900d2c18a1"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"NDSolve", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{
      RowBox[{
       RowBox[{
        RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
       RowBox[{
        RowBox[{"50", "^", "2"}], "*", 
        RowBox[{"(", 
         RowBox[{"e", "+", 
          RowBox[{
           RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
        RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
     RowBox[{
      RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
     RowBox[{
      RowBox[{
       RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "0.001"}]}], "}"}], 
   ",", "y", ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7863558275931287`*^9, 3.786355834329114*^9}, {
  3.786356178188719*^9, 3.7863561833229876`*^9}},
 CellLabel->
  "In[124]:=",ExpressionUUID->"7eaa9e04-54c6-4f2e-a0c1-5b78b12bb5d3"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", 
   RowBox[{"y", "\[Rule]", 
    InterpretationBox[
     RowBox[{
      TagBox["InterpolatingFunction",
       "SummaryHead"], "[", 
      DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = 
       "Ready"}, 
       TemplateBox[{PaneSelectorBox[{False -> GridBox[{{
               PaneBox[
                ButtonBox[
                 DynamicBox[
                  FEPrivate`FrontEndResource[
                  "FEBitmaps", "SquarePlusIconMedium"]], 
                 ButtonFunction :> (Typeset`open$$ = True), Appearance -> 
                 None, Evaluator -> Automatic, Method -> "Preemptive"], 
                Alignment -> {Center, Center}, ImageSize -> 
                Dynamic[{
                  Automatic, 
                   3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])}]], 
               GraphicsBox[{{{{}, {}, 
                   TagBox[{
                    Directive[
                    Opacity[1.], 
                    RGBColor[0.368417, 0.506779, 0.709798], 
                    AbsoluteThickness[1]], 
                    LineBox[CompressedData["
1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAotpLlPIyUj4ADDMnw6KyPcYpATtp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                    "]]}, 
                    Annotation[#, 
                    "Charting`Private`Tag$45208#1"]& ]}}, {}, {}}, {
                DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, 
                 AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, 
                 GridLines -> {None, None}, DisplayFunction -> Identity, 
                 PlotRangePadding -> {{
                    Scaled[0.1], 
                    Scaled[0.1]}, {
                    Scaled[0.1], 
                    Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> 
                 All, DisplayFunction -> Identity, AspectRatio -> 1, 
                 Axes -> {False, False}, AxesLabel -> {None, None}, 
                 AxesOrigin -> {0, 0}, DisplayFunction :> Identity, 
                 Frame -> {{True, True}, {True, True}}, 
                 FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> 
                 Directive[
                   Opacity[0.5], 
                   Thickness[Tiny], 
                   RGBColor[0.368417, 0.506779, 0.709798]], 
                 FrameTicks -> {{None, None}, {None, None}}, 
                 GridLines -> {None, None}, GridLinesStyle -> Directive[
                   GrayLevel[0.5, 0.4]], ImageSize -> 
                 Dynamic[{
                   Automatic, 
                    3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])}], 
                 Method -> {
                  "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
                   AbsolutePointSize[6], "ScalingFunctions" -> None, 
                   "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
                    (Identity[#]& )[
                    Part[#, 1]], 
                    (Identity[#]& )[
                    Part[#, 2]]}& ), "CopiedValueFunction" -> ({
                    (Identity[#]& )[
                    Part[#, 1]], 
                    (Identity[#]& )[
                    Part[#, 2]]}& )}}, 
                 PlotRange -> {{0., 1.}, {-6.019732694116527*^-6, 
                  5.983048389796206*^-6}}, PlotRangeClipping -> True, 
                 PlotRangePadding -> {{
                    Scaled[0.1], 
                    Scaled[0.1]}, {
                    Scaled[0.1], 
                    Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], 
               GridBox[{{
                  RowBox[{
                    TagBox["\"Domain: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox[
                    RowBox[{"{", 
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}], "}"}], 
                    "SummaryItem"]}]}, {
                  RowBox[{
                    TagBox["\"Output: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"scalar\"", "SummaryItem"]}]}}, 
                GridBoxAlignment -> {
                 "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
                False, GridBoxItemSize -> {
                 "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
                GridBoxSpacings -> {
                 "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, 
                BaseStyle -> {
                 ShowStringCharacters -> False, NumberMarks -> False, 
                  PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
             GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
             GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             BaselinePosition -> {1, 1}], True -> GridBox[{{
               PaneBox[
                ButtonBox[
                 DynamicBox[
                  FEPrivate`FrontEndResource[
                  "FEBitmaps", "SquareMinusIconMedium"]], 
                 ButtonFunction :> (Typeset`open$$ = False), Appearance -> 
                 None, Evaluator -> Automatic, Method -> "Preemptive"], 
                Alignment -> {Center, Center}, ImageSize -> 
                Dynamic[{
                  Automatic, 
                   3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])}]], 
               GraphicsBox[{{{{}, {}, 
                   TagBox[{
                    Directive[
                    Opacity[1.], 
                    RGBColor[0.368417, 0.506779, 0.709798], 
                    AbsoluteThickness[1]], 
                    LineBox[CompressedData["
1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAAotpLlPIyUj4ADDMnw6KyPcYpATtp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                    "]]}, 
                    Annotation[#, 
                    "Charting`Private`Tag$45208#1"]& ]}}, {}, {}}, {
                DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, 
                 AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, 
                 GridLines -> {None, None}, DisplayFunction -> Identity, 
                 PlotRangePadding -> {{
                    Scaled[0.1], 
                    Scaled[0.1]}, {
                    Scaled[0.1], 
                    Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> 
                 All, DisplayFunction -> Identity, AspectRatio -> 1, 
                 Axes -> {False, False}, AxesLabel -> {None, None}, 
                 AxesOrigin -> {0, 0}, DisplayFunction :> Identity, 
                 Frame -> {{True, True}, {True, True}}, 
                 FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> 
                 Directive[
                   Opacity[0.5], 
                   Thickness[Tiny], 
                   RGBColor[0.368417, 0.506779, 0.709798]], 
                 FrameTicks -> {{None, None}, {None, None}}, 
                 GridLines -> {None, None}, GridLinesStyle -> Directive[
                   GrayLevel[0.5, 0.4]], ImageSize -> 
                 Dynamic[{
                   Automatic, 
                    3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])}], 
                 Method -> {
                  "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
                   AbsolutePointSize[6], "ScalingFunctions" -> None, 
                   "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
                    (Identity[#]& )[
                    Part[#, 1]], 
                    (Identity[#]& )[
                    Part[#, 2]]}& ), "CopiedValueFunction" -> ({
                    (Identity[#]& )[
                    Part[#, 1]], 
                    (Identity[#]& )[
                    Part[#, 2]]}& )}}, 
                 PlotRange -> {{0., 1.}, {-6.019732694116527*^-6, 
                  5.983048389796206*^-6}}, PlotRangeClipping -> True, 
                 PlotRangePadding -> {{
                    Scaled[0.1], 
                    Scaled[0.1]}, {
                    Scaled[0.1], 
                    Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], 
               GridBox[{{
                  RowBox[{
                    TagBox["\"Domain: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox[
                    RowBox[{"{", 
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}], "}"}], 
                    "SummaryItem"]}]}, {
                  RowBox[{
                    TagBox["\"Output: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"scalar\"", "SummaryItem"]}]}, {
                  RowBox[{
                    TagBox["\"Order: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["3", "SummaryItem"]}]}, {
                  RowBox[{
                    TagBox["\"Method: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"Hermite\"", "SummaryItem"]}]}, {
                  RowBox[{
                    TagBox["\"Periodic: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["False", "SummaryItem"]}]}}, 
                GridBoxAlignment -> {
                 "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
                False, GridBoxItemSize -> {
                 "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
                GridBoxSpacings -> {
                 "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, 
                BaseStyle -> {
                 ShowStringCharacters -> False, NumberMarks -> False, 
                  PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
             GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
             GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             BaselinePosition -> {1, 1}]}, 
          Dynamic[Typeset`open$$], ImageSize -> Automatic]},
        "SummaryPanel"],
       DynamicModuleValues:>{}], "]"}],
     InterpolatingFunction[{{0., 1.}}, {
      5, 7, 2, {912}, {4}, 0, 0, 0, 0, Automatic, {}, {}, 
       False}, CompressedData["
1:eJw9mXlQD973/yspQoVQUbKlRZQ2LTwTEVJKJKEVxVtERERpJUvRQiiplKSd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      "], {Developer`PackedArrayForm, CompressedData["
1:eJwl1mOwGNYWgNGbmya5sW3btm27sW3btm3baqOmsdrYtq3mrb6emTX7/znz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       "], CompressedData["
1:eJw8mWc4lm/cxyuy/iiFsmdkZm/nSfa63UZWdpSWUJFVIVRKSSXZIyt7Z5wn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       "]}, {Automatic}],
     Editable->False,
     SelectWithContents->True,
     Selectable->False]}], "}"}], "}"}]], "Output",
 CellChangeTimes->{{3.786356179198019*^9, 3.786356188070292*^9}},
 CellLabel->
  "Out[124]=",ExpressionUUID->"889a4c20-0cad-4b89-a294-9c27b07e4a02"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"estart", "=", "0.1"}], ";", 
  RowBox[{"dh", "=", "0.1"}], ";", 
  RowBox[{"ops", "=", "0.1"}]}]], "Input",
 CellChangeTimes->{{3.7863562758056545`*^9, 3.7863563091634436`*^9}},
 CellLabel->
  "In[125]:=",ExpressionUUID->"55f951ec-2649-468e-84bb-28c914a6c101"],

Cell[BoxData["0.1`"], "Output",
 CellChangeTimes->{3.7863563098186903`*^9},
 CellLabel->
  "Out[125]=",ExpressionUUID->"0e8ab921-1574-45c6-be81-25a6bd8a06f2"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Monitor", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{"e", "=", "estart"}], ";", "\[IndentingNewLine]", 
     RowBox[{"xm", "=", 
      RowBox[{"Sqrt", "[", 
       RowBox[{"2", 
        RowBox[{"(", 
         RowBox[{"e", "+", "1"}], ")"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"old", "=", "1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"delta", "=", "0.2"}], ";", "\[IndentingNewLine]", 
     RowBox[{"Print", "[", "e", "]"}], ";", "\[IndentingNewLine]", 
     RowBox[{"While", "[", 
      RowBox[{
       RowBox[{"delta", ">", "ops"}], ",", 
       RowBox[{"{", "\[IndentingNewLine]", 
        RowBox[{
         RowBox[{"y1", "=", 
          RowBox[{"NDSolve", "[", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
                RowBox[{
                 RowBox[{"50", "^", "2"}], "*", 
                 RowBox[{"(", 
                  RowBox[{"e", "+", 
                   RowBox[{
                    RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], 
                 "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{
                RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "0.001"}]}], 
             "}"}], ",", "y", ",", 
            RowBox[{"{", 
             RowBox[{"t", ",", "0", ",", "xm"}], "}"}]}], "]"}]}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"y2", "=", 
          RowBox[{"NDSolve", "[", 
           RowBox[{
            RowBox[{"{", 
             RowBox[{
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
                RowBox[{
                 RowBox[{"50", "^", "2"}], "*", 
                 RowBox[{"(", 
                  RowBox[{"e", "+", 
                   RowBox[{
                    RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], 
                 "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
              RowBox[{
               RowBox[{
                RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", 
               RowBox[{"-", "0.001"}]}]}], "}"}], ",", "y", ",", 
            RowBox[{"{", 
             RowBox[{"t", ",", "1", ",", "xm"}], "}"}]}], "]"}]}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"y11", "=", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"y", "/.", 
             RowBox[{"y1", "[", 
              RowBox[{"[", 
               RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
           "]"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"y22", "=", 
          RowBox[{
           RowBox[{"(", 
            RowBox[{"y", "/.", 
             RowBox[{"y2", "[", 
              RowBox[{"[", 
               RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
           "]"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"delta", "=", 
          RowBox[{"y11", "-", "y22"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"If", "[", 
          RowBox[{
           RowBox[{
            RowBox[{"old", "*", 
             RowBox[{"(", 
              RowBox[{"y11", "-", "y22"}], ")"}]}], ">", "0"}], ",", 
           "\[IndentingNewLine]", 
           RowBox[{"e", "=", 
            RowBox[{"e", "+", "dh"}]}], ",", "\[IndentingNewLine]", 
           RowBox[{"If", "[", 
            RowBox[{
             RowBox[{
              RowBox[{"old", "*", 
               RowBox[{"(", 
                RowBox[{"y11", "-", "y22"}], ")"}]}], "<", "0"}], ",", 
             RowBox[{"dh", "=", 
              RowBox[{"0.5", "dh"}]}], ",", "Break"}], "]"}]}], "]"}], ";", 
         "\[IndentingNewLine]", 
         RowBox[{"old", "=", 
          RowBox[{"y11", "-", "y22"}]}], ";", "\[IndentingNewLine]", 
         RowBox[{"xm", "=", 
          RowBox[{"Sqrt", "[", 
           RowBox[{"2", 
            RowBox[{"(", 
             RowBox[{"e", "+", "1"}], ")"}]}], "]"}]}], ";"}], "}"}]}], "]"}],
      ";", "\[IndentingNewLine]", 
     RowBox[{"Print", "[", "e", "]"}]}], "}"}], ",", "delta"}], 
  "]"}]], "Input",
 CellChangeTimes->{{3.7863563653711233`*^9, 3.786356365636414*^9}, {
  3.78635641588706*^9, 3.7863564175445905`*^9}, {3.786356468874174*^9, 
  3.786356495018458*^9}, {3.786356596797262*^9, 3.786356613455263*^9}},
 CellLabel->
  "In[140]:=",ExpressionUUID->"067ad1de-01fd-46a4-81dd-f0a2402c1a4e"],

Cell[CellGroupData[{

Cell[BoxData["0.1`"], "Print",
 CellChangeTimes->{3.78635662320914*^9},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[140]:=",ExpressionUUID->"d72db737-5070-4ec6-\
a7d3-d8dcec5c60a3"],

Cell[BoxData["0.10001220703125001`"], "Print",
 CellChangeTimes->{3.786356623213129*^9},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[140]:=",ExpressionUUID->"7ddd09c3-667e-4619-\
a4ba-baa937be24a8"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"{", "Null", "}"}]], "Output",
 CellChangeTimes->{{3.7863563744069576`*^9, 3.7863563943765597`*^9}, 
   3.7863565109289074`*^9, 3.786356623329045*^9},
 CellLabel->
  "Out[140]=",ExpressionUUID->"4f36ee09-2ed9-4744-ac02-a180c9a9059d"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData["y1"], "Input",
 CellChangeTimes->{{3.7863563314428587`*^9, 3.786356332272641*^9}},
 CellLabel->
  "In[127]:=",ExpressionUUID->"65ee78cf-9c98-4433-9cdb-51bcb456f545"],

Cell[BoxData["y1"], "Output",
 CellChangeTimes->{3.7863563330176487`*^9},
 CellLabel->
  "Out[127]=",ExpressionUUID->"0690cce4-2c7d-4890-9330-c45bd5f09320"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"ShootingTriangle", "[", 
   RowBox[{"kstart_", ",", "ddh_", ",", "ops_"}], "]"}], ":=", 
  "\[IndentingNewLine]", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
     "y", ",", "e", ",", "xm", ",", "y1", ",", "y2", ",", "y11", ",", "y22", 
      ",", "delta", ",", "old", ",", "dh", ",", "k", ",", "i"}], "}"}], ",", 
    "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"dh", "=", "ddh"}], ";", "\[IndentingNewLine]", 
     RowBox[{"k", "=", "kstart"}], ";", "\[IndentingNewLine]", 
     RowBox[{"xm", "=", "0.5"}], ";", "\[IndentingNewLine]", 
     RowBox[{"old", "=", "1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"delta", "=", "0.1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"i", "=", "1"}], ";", "\[IndentingNewLine]", 
     RowBox[{"While", "[", 
      RowBox[{
       RowBox[{"delta", ">", "ops"}], ",", 
       RowBox[{
        RowBox[{"{", "\[IndentingNewLine]", 
         RowBox[{
          RowBox[{"y1", "=", 
           RowBox[{"NDSolve", "[", 
            RowBox[{
             RowBox[{"{", 
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "\[Equal]", 
                RowBox[{
                 RowBox[{"-", 
                  RowBox[{"k", "^", "2"}]}], "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], ",", 
               RowBox[{
                RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
               RowBox[{
                RowBox[{
                 RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "5"}]}], 
              "}"}], ",", "y", ",", 
             RowBox[{"{", 
              RowBox[{"t", ",", 
               RowBox[{"-", "1"}], ",", "xm"}], "}"}]}], "]"}]}], ";", 
          "\[IndentingNewLine]", 
          RowBox[{"y2", "=", 
           RowBox[{"NDSolve", "[", 
            RowBox[{
             RowBox[{"{", 
              RowBox[{
               RowBox[{
                RowBox[{
                 RowBox[{"y", "''"}], "[", "t", "]"}], "\[Equal]", 
                RowBox[{
                 RowBox[{"-", 
                  RowBox[{"k", "^", "2"}]}], "*", 
                 RowBox[{"y", "[", "t", "]"}]}]}], ",", 
               RowBox[{
                RowBox[{"y", "[", "1", "]"}], "\[Equal]", "0"}], ",", 
               RowBox[{
                RowBox[{
                 RowBox[{"y", "'"}], "[", "1", "]"}], "\[Equal]", "0.5"}]}], 
              "}"}], ",", "y", ",", 
             RowBox[{"{", 
              RowBox[{"t", ",", "xm", ",", "1"}], "}"}]}], "]"}]}], ";", 
          "\[IndentingNewLine]", 
          RowBox[{"y11", "=", 
           RowBox[{
            RowBox[{"(", 
             RowBox[{"y", "/.", 
              RowBox[{"y1", "[", 
               RowBox[{"[", 
                RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
            "]"}]}], ";", "\[IndentingNewLine]", 
          RowBox[{"y22", "=", 
           RowBox[{
            RowBox[{"(", 
             RowBox[{"y", "/.", 
              RowBox[{"y2", "[", 
               RowBox[{"[", 
                RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ")"}], "[", "xm", 
            "]"}]}], ";", "\[IndentingNewLine]", 
          RowBox[{"delta", "=", 
           RowBox[{"Abs", "[", 
            RowBox[{"y11", "-", "y22"}], "]"}]}], ";", "\[IndentingNewLine]", 
          RowBox[{"If", "[", 
           RowBox[{
            RowBox[{
             RowBox[{"old", "*", 
              RowBox[{"(", 
               RowBox[{"y11", "-", "y22"}], ")"}]}], ">", "0"}], ",", 
            "\[IndentingNewLine]", 
            RowBox[{
             RowBox[{"k", "=", 
              RowBox[{"k", "+", "dh"}]}], ";", "\[IndentingNewLine]", 
             RowBox[{"If", "[", 
              RowBox[{
               RowBox[{
                RowBox[{"old", "*", 
                 RowBox[{"(", 
                  RowBox[{"y11", "-", "y22"}], ")"}]}], "<", "0"}], ",", 
               RowBox[{"dh", "=", 
                RowBox[{"0.5", "dh"}]}], ",", "Break"}], "]"}]}]}], "]"}], 
          ";", "\[IndentingNewLine]", 
          RowBox[{"old", "=", 
           RowBox[{"y11", "-", "y22"}]}], ";"}], "\[IndentingNewLine]", "}"}],
         ";", 
        RowBox[{"i", "++"}]}]}], "]"}], ";", "\[IndentingNewLine]", 
     RowBox[{"Return", "[", "k", "]"}]}]}], "\[IndentingNewLine]", 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.7865304799369717`*^9, 3.786530485063263*^9}, {
  3.786530660746718*^9, 3.786530795038088*^9}, {3.7865308690949574`*^9, 
  3.7865308699311914`*^9}, {3.786530919283103*^9, 3.7865309994846363`*^9}, {
  3.786531059411647*^9, 3.7865310639963465`*^9}, {3.7865311307474923`*^9, 
  3.786531155310833*^9}, {3.786531712084978*^9, 3.7865317124121037`*^9}},
 CellLabel->"In[34]:=",ExpressionUUID->"097c509c-daae-4f4d-9159-184ab1dca7eb"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ShootingTriangle", "[", 
  RowBox[{"3.13", ",", "0.0005", ",", "0.001"}], "]"}]], "Input",
 CellChangeTimes->{{3.7865308014200206`*^9, 3.786530830631897*^9}, {
  3.7865309434928317`*^9, 3.786530943937676*^9}, {3.786531033110216*^9, 
  3.786531085694319*^9}, {3.7865314889143457`*^9, 3.786531521733618*^9}, {
  3.786531595091532*^9, 3.7865316128539968`*^9}},
 CellLabel->"In[35]:=",ExpressionUUID->"77a9aff8-7f65-4db4-bce9-914e19ae942b"],

Cell[BoxData["6.281499999999026`"], "Output",
 CellChangeTimes->{{3.7865311425828743`*^9, 3.786531165125553*^9}, {
   3.786531495899665*^9, 3.786531523232566*^9}, {3.7865315987387457`*^9, 
   3.786531623568342*^9}, 3.786531731272664*^9},
 CellLabel->"Out[35]=",ExpressionUUID->"17e63595-3f72-4741-8df3-6568783982a0"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Plott", "[", 
   RowBox[{"k_", ",", "j_"}], "]"}], ":=", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"y1", ",", "y2", ",", "xm"}], "}"}], ",", "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"xm", "=", "0.5"}], ";", "\[IndentingNewLine]", 
     RowBox[{"y1", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{"y", "''"}], "[", "t", "]"}], "\[Equal]", 
           RowBox[{
            RowBox[{"-", 
             RowBox[{"k", "^", "2"}]}], "*", 
            RowBox[{"y", "[", "t", "]"}]}]}], ",", 
          RowBox[{
           RowBox[{"y", "[", "0", "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", "0", "]"}], "\[Equal]", "5"}]}], "}"}], 
        ",", "y", ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", 
          RowBox[{"-", "1"}], ",", "xm"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"y2", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{"y", "''"}], "[", "t", "]"}], "\[Equal]", 
           RowBox[{
            RowBox[{"-", 
             RowBox[{"k", "^", "2"}]}], "*", 
            RowBox[{"y", "[", "t", "]"}]}]}], ",", 
          RowBox[{
           RowBox[{"y", "[", "1", "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", "1", "]"}], "\[Equal]", "0.5"}]}], "}"}],
         ",", "y", ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "xm", ",", "1"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"Show", "[", 
      RowBox[{
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y1", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", 
           RowBox[{"-", "1"}], ",", "xm"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Blue"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", 
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y2", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "xm", ",", "1"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "]"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{
  3.7865312078368387`*^9, 3.786531238771147*^9, {3.786531279718115*^9, 
   3.7865312970577803`*^9}, {3.7865313385846844`*^9, 
   3.7865313716991234`*^9}, {3.7865314167317266`*^9, 3.786531419272894*^9}, {
   3.786531751318055*^9, 3.7865317516033344`*^9}},
 CellLabel->"In[36]:=",ExpressionUUID->"ff7b6e80-439f-4aab-a89b-dd2fd5f35d07"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plott", "[", 
  RowBox[{"6.28", ",", "1"}], "]"}]], "Input",
 CellChangeTimes->{{3.7865312848753586`*^9, 3.7865313140872*^9}, {
  3.786531506118336*^9, 3.7865315695078964`*^9}},
 CellLabel->"In[37]:=",ExpressionUUID->"536a4db0-b852-4e20-b0e6-04d35de08100"],

Cell[BoxData[
 GraphicsBox[{{{{}, {}, 
     TagBox[
      {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwVmHc8V/8Xx5GRohQyQhHKKEWRiiMhSqWMSrISkkJTNFBZIWkpTYSQNGTW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        "]]},
      Annotation[#, "Charting`Private`Tag$933634#1"]& ]}, {}, {}}, {{{}, {}, 
     TagBox[
      {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwV13k4VVsbAHAazBVCGTLV6ZYpSea8SMYIIUmGRrpdYyqFEFGIcLuVcEUq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        "]]},
      Annotation[#, "Charting`Private`Tag$933680#1"]& ]}, {}, {}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  ImageSize->{340., Automatic},
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.78653131035917*^9, 3.7865313152361364`*^9}, 
   3.786531430932745*^9, {3.7865315086545525`*^9, 3.786531570526207*^9}, 
   3.7865317551957183`*^9},
 CellLabel->"Out[37]=",ExpressionUUID->"2b7eb95c-c510-43e7-9f87-2b7d6318c2ed"]
}, Open  ]],

Cell[" ", "Text",
 Editable->False,
 Selectable->False,
 CellFrame->{{0, 0}, {0, 2}},
 ShowCellBracket->False,
 CellMargins->{{0, 0}, {1, 1}},
 CellElementSpacings->{"CellMinHeight"->1},
 CellFrameMargins->0,
 CellFrameColor->RGBColor[0, 0, 1],
 CellSize->{
  Inherited, 4},ExpressionUUID->"427050a4-3d81-41bc-8f26-e20e9a9f9ea1"],

Cell[CellGroupData[{

Cell["\:77e9\:9635\:6cd5", "Section",
 CellChangeTimes->{
  3.786532033829788*^9},ExpressionUUID->"dda93ecd-f57c-48d6-9ece-\
7eb024ef5ae2"],

Cell[BoxData[
 RowBox[{
  RowBox[{"V", "[", "x_", "]"}], ":=", 
  RowBox[{
   RowBox[{"x", "^", "2"}], "-", "1"}]}]], "Input",
 CellChangeTimes->{{3.7865328573520794`*^9, 3.7865328632901983`*^9}},
 CellLabel->"In[38]:=",ExpressionUUID->"f0892b6e-c4b3-42e5-8ebc-d7790d770d05"],

Cell[BoxData[
 RowBox[{
  RowBox[{"h", "=", "1"}], ";"}]], "Input",
 CellChangeTimes->{{3.7865328693530207`*^9, 3.7865328715381403`*^9}},
 CellLabel->"In[39]:=",ExpressionUUID->"55575507-c7d0-4afd-8675-db425d65b59b"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"SparseArray", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{
      RowBox[{"{", 
       RowBox[{"i_", ",", "i_"}], "}"}], "\[Rule]", 
      RowBox[{
       RowBox[{"2", "/", 
        RowBox[{"h", "^", "2"}]}], "+", 
       RowBox[{"V", "[", 
        RowBox[{"(", 
         RowBox[{
          RowBox[{"-", "1"}], "+", 
          RowBox[{"i", "*", "0.5"}]}], ")"}], "]"}]}]}], ",", 
     RowBox[{
      RowBox[{
       RowBox[{"{", 
        RowBox[{"ik_", ",", "j_"}], "}"}], "/;", 
       RowBox[{
        RowBox[{"Abs", "[", 
         RowBox[{"ik", "-", "j"}], "]"}], "\[Equal]", "1"}]}], "\[Rule]", 
      RowBox[{
       RowBox[{"-", "1"}], "/", 
       RowBox[{"h", "^", "2"}]}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"4", ",", "4"}], "}"}]}], "]"}]], "Input",
 CellLabel->"In[40]:=",ExpressionUUID->"64e83cd6-77ae-4ae9-9086-7860bf54da2f"],

Cell[BoxData[
 InterpretationBox[
  RowBox[{
   TagBox["SparseArray",
    "SummaryHead"], "[", 
   DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, 
    TemplateBox[{PaneSelectorBox[{False -> GridBox[{{
            PaneBox[
             ButtonBox[
              DynamicBox[
               FEPrivate`FrontEndResource[
               "FEBitmaps", "SquarePlusIconMedium"]], 
              ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, 
              Evaluator -> Automatic, Method -> "Preemptive"], 
             Alignment -> {Center, Center}, ImageSize -> 
             Dynamic[{
               Automatic, 3.5 CurrentValue["FontCapHeight"]/
                AbsoluteCurrentValue[Magnification]}]], 
            GraphicsBox[
             RasterBox[CompressedData["
1:eJxTTMoPSmVmYGBggWIQ26p8d9wspXP2c4wXbTH/ccX+xSLFx4GrXtnjEm8J
ccr4euyS/bwlK/22z9ltP3MRl+7MiU/sd3YbuO7c8sL+hvvydTXT3tqfjMj9
F//1PcnmbNE9lTPB87b9v9d3tkguf26/yPu1kkXie5zqcYlP+r3Hg73ron3O
xgfNd7we2+fYOlukRb7DqR6XO0l1D6nhCQCLdc2d
              "], {{0, 0}, {4, 4}}, {0, 1}], AspectRatio -> 1, Axes -> False, 
             Frame -> False, FrameLabel -> {None, None}, FrameStyle -> 
             Directive[
               Opacity[0.5], 
               Thickness[Tiny], 
               RGBColor[0.368417, 0.506779, 0.709798]], 
             FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> 
             Directive[
               GrayLevel[0.5, 0.4]], ImageSize -> 
             Dynamic[{
               Automatic, 3.5 CurrentValue["FontCapHeight"]/
                AbsoluteCurrentValue[Magnification]}], 
             Method -> {
              "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> 
               Automatic, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> 
               Scaled[0.02], "RangePadding" -> Scaled[0.05]}], 
            GridBox[{{
               RowBox[{
                 TagBox["\"Specified elements: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["10", "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox[
                  RowBox[{"{", 
                    RowBox[{"4", ",", "4"}], "}"}], "SummaryItem"]}]}}, 
             GridBoxAlignment -> {
              "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
             False, GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}},
              BaseStyle -> {
              ShowStringCharacters -> False, NumberMarks -> False, 
               PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
          GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
          GridBoxItemSize -> {
           "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
          BaselinePosition -> {1, 1}], True -> GridBox[{{
            PaneBox[
             ButtonBox[
              DynamicBox[
               FEPrivate`FrontEndResource[
               "FEBitmaps", "SquareMinusIconMedium"]], 
              ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, 
              Evaluator -> Automatic, Method -> "Preemptive"], 
             Alignment -> {Center, Center}, ImageSize -> 
             Dynamic[{
               Automatic, 3.5 CurrentValue["FontCapHeight"]/
                AbsoluteCurrentValue[Magnification]}]], 
            GraphicsBox[
             RasterBox[CompressedData["
1:eJxTTMoPSmVmYGBggWIQ26p8d9wspXP2c4wXbTH/ccX+xSLFx4GrXtnjEm8J
ccr4euyS/bwlK/22z9ltP3MRl+7MiU/sd3YbuO7c8sL+hvvydTXT3tqfjMj9
F//1PcnmbNE9lTPB87b9v9d3tkguf26/yPu1kkXie5zqcYlP+r3Hg73ron3O
xgfNd7we2+fYOlukRb7DqR6XO0l1D6nhCQCLdc2d
              "], {{0, 0}, {4, 4}}, {0, 1}], AspectRatio -> 1, Axes -> False, 
             Frame -> False, FrameLabel -> {None, None}, FrameStyle -> 
             Directive[
               Opacity[0.5], 
               Thickness[Tiny], 
               RGBColor[0.368417, 0.506779, 0.709798]], 
             FrameTicks -> {{None, None}, {None, None}}, GridLinesStyle -> 
             Directive[
               GrayLevel[0.5, 0.4]], ImageSize -> 
             Dynamic[{
               Automatic, 3.5 CurrentValue["FontCapHeight"]/
                AbsoluteCurrentValue[Magnification]}], 
             Method -> {
              "AxisPadding" -> Scaled[0.02], "DefaultBoundaryStyle" -> 
               Automatic, "DefaultPlotStyle" -> Automatic, "DomainPadding" -> 
               Scaled[0.02], "RangePadding" -> Scaled[0.05]}], 
            GridBox[{{
               RowBox[{
                 TagBox["\"Specified elements: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["10", "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Dimensions: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox[
                  RowBox[{"{", 
                    RowBox[{"4", ",", "4"}], "}"}], "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Default: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["0", "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Density: \"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["0.625`", "SummaryItem"]}]}, {
               RowBox[{
                 TagBox["\"Elements:\"", "SummaryItemAnnotation"], 
                 "\[InvisibleSpace]", 
                 TagBox["\"\"", "SummaryItem"]}]}, {
               TagBox[
                TagBox[
                 GridBox[{{
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"1", ",", "2"}], "}"}], "\[Rule]", 
                    StyleBox[
                    PaneBox[
                    RowBox[{"-", "1"}], ContentPadding -> False, FrameMargins -> 
                    0, StripOnInput -> True, BaselinePosition -> Baseline, 
                    ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> 
                    False]}]}, {
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"1", ",", "1"}], "}"}], "\[Rule]", 
                    StyleBox[
                    PaneBox[
                    "1.25`", ContentPadding -> False, FrameMargins -> 0, 
                    StripOnInput -> True, BaselinePosition -> Baseline, 
                    ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> 
                    False]}]}, {
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"2", ",", "1"}], "}"}], "\[Rule]", 
                    StyleBox[
                    PaneBox[
                    RowBox[{"-", "1"}], ContentPadding -> False, FrameMargins -> 
                    0, StripOnInput -> True, BaselinePosition -> Baseline, 
                    ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> 
                    False]}]}, {
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"2", ",", "2"}], "}"}], "\[Rule]", 
                    StyleBox[
                    PaneBox[
                    "1.`", ContentPadding -> False, FrameMargins -> 0, 
                    StripOnInput -> True, BaselinePosition -> Baseline, 
                    ImageSize -> {{1, 300}, Automatic}], LineBreakWithin -> 
                    False]}]}, {
                    ItemBox[
                    "\"\[VerticalEllipsis]\"", Alignment -> Center, 
                    StripOnInput -> False]}}, 
                  GridBoxAlignment -> {"Columns" -> {{Left}}}, 
                  DefaultBaseStyle -> "Column", 
                  GridBoxItemSize -> {
                   "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}], 
                 "Column"], "SummaryItem"]}}, 
             GridBoxAlignment -> {
              "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
             False, GridBoxItemSize -> {
              "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
             GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}},
              BaseStyle -> {
              ShowStringCharacters -> False, NumberMarks -> False, 
               PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
          GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
          GridBoxItemSize -> {
           "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
          BaselinePosition -> {1, 1}]}, 
       Dynamic[Typeset`open$$], ImageSize -> Automatic]},
     "SummaryPanel"],
    DynamicModuleValues:>{}], "]"}],
  SparseArray[
  Automatic, {4, 4}, 0, {
   1, {{0, 2, 5, 8, 10}, {{2}, {1}, {1}, {2}, {3}, {4}, {3}, {2}, {3}, {
     4}}}, {-1, 1.25, -1, 1., -1, -1, 1.25, -1, -1, 2.}}],
  Editable->False,
  SelectWithContents->True,
  Selectable->False]], "Output",
 CellChangeTimes->{3.7865328765587416`*^9},
 CellLabel->"Out[40]=",ExpressionUUID->"ced121f9-bfc1-4c5d-adca-88aac59a7fd8"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Eigenvalues", "[", "%", "]"}]], "Input",
 CellChangeTimes->{{3.786532888492797*^9, 3.7865328975954866`*^9}},
 CellLabel->"In[41]:=",ExpressionUUID->"784e222f-c65b-4c25-adaf-7354865a56db"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
  "2.9813587863737605`", ",", "2.0908662949207812`", ",", 
   "0.8356921847848741`", ",", 
   RowBox[{"-", "0.4079172660794162`"}]}], "}"}]], "Output",
 CellChangeTimes->{3.786532898675621*^9},
 CellLabel->"Out[41]=",ExpressionUUID->"ceabe2d1-a0f8-4695-ae61-611f51231f2b"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"e", "=", 
   RowBox[{"-", "0.4079172660794162`"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.786532965214326*^9, 3.7865329736243105`*^9}, 
   3.7865330048458524`*^9},
 CellLabel->"In[45]:=",ExpressionUUID->"82433ee8-f4f7-4f50-9cd9-73be4183aa36"],

Cell[BoxData[
 RowBox[{
  RowBox[{"xm", "=", 
   RowBox[{"Sqrt", "[", 
    RowBox[{"e", "+", "1"}], "]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.786532977884957*^9, 3.786532988087631*^9}},
 CellLabel->"In[46]:=",ExpressionUUID->"b5235102-6f3b-4f0d-bf4c-df349c61f17a"],

Cell[BoxData[
 RowBox[{
  RowBox[{"Plott", "[", 
   RowBox[{"e_", ",", "j_"}], "]"}], ":=", 
  RowBox[{"Module", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"y1", ",", "y2", ",", "xm"}], "}"}], ",", "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"xm", "=", 
      RowBox[{"-", 
       RowBox[{"Sqrt", "[", 
        RowBox[{"e", "+", "1"}], "]"}]}]}], ";", "\[IndentingNewLine]", 
     RowBox[{"y1", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{
             RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
            RowBox[{
             RowBox[{"50", "^", "2"}], "*", 
             RowBox[{"(", 
              RowBox[{"e", "-", 
               RowBox[{
                RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
             RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{"y", "[", 
            RowBox[{"-", "1"}], "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", 
            RowBox[{"-", "1"}], "]"}], "\[Equal]", 
           RowBox[{
            RowBox[{"-", "j"}], "+", "1"}]}]}], "}"}], ",", "y", ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", 
          RowBox[{"-", "1"}], ",", "xm"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"y2", "=", 
      RowBox[{"NDSolve", "[", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{
          RowBox[{
           RowBox[{
            RowBox[{
             RowBox[{"y", "''"}], "[", "t", "]"}], "+", 
            RowBox[{
             RowBox[{"50", "^", "2"}], "*", 
             RowBox[{"(", 
              RowBox[{"e", "-", 
               RowBox[{
                RowBox[{"t", "^", "2"}], "/", "2"}], "+", "1"}], ")"}], "*", 
             RowBox[{"y", "[", "t", "]"}]}]}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{"y", "[", "1", "]"}], "\[Equal]", "0"}], ",", 
          RowBox[{
           RowBox[{
            RowBox[{"y", "'"}], "[", "1", "]"}], "\[Equal]", 
           RowBox[{"-", "j"}]}]}], "}"}], ",", "y", ",", 
        RowBox[{"{", 
         RowBox[{"t", ",", "xm", ",", "1"}], "}"}]}], "]"}]}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"Show", "[", 
      RowBox[{
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y1", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", 
           RowBox[{"-", "1"}], ",", "xm"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Blue"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", 
       RowBox[{"Plot", "[", 
        RowBox[{
         RowBox[{
          RowBox[{"y", "[", "t", "]"}], "/.", 
          RowBox[{"y2", "[", 
           RowBox[{"[", 
            RowBox[{"1", ",", "1"}], "]"}], "]"}]}], ",", 
         RowBox[{"{", 
          RowBox[{"t", ",", "xm", ",", "1"}], "}"}], ",", 
         RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", 
         RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}], "]"}]}]}], 
   "]"}]}]], "Input",
 CellChangeTimes->{{3.786533139164268*^9, 3.786533139518321*^9}},
 CellLabel->"In[53]:=",ExpressionUUID->"72afe72e-cb53-48e2-ae3b-a672fae18216"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plott", "[", 
  RowBox[{
   RowBox[{"-", "0.4079172660794162`"}], ",", "0.1"}], "]"}]], "Input",
 CellChangeTimes->{{3.78653308794274*^9, 3.7865331186681185`*^9}},
 CellLabel->"In[54]:=",ExpressionUUID->"ef0eb31c-0c23-4e19-89c7-8b23d58cb493"],

Cell[BoxData[
 GraphicsBox[{{{{}, {}, 
     TagBox[
      {RGBColor[0, 0, 1], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwV1nc8V98fB3CrZKTsrYhCtuxxRJFIUVbJThEZkZUWGZGihFDGZ0oILeGd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        "]]},
      Annotation[#, "Charting`Private`Tag$936114#1"]& ]}, {}, {}}, {{{}, {}, 
     TagBox[
      {RGBColor[1, 0, 0], AbsoluteThickness[1.6], Opacity[1.], 
       LineBox[CompressedData["
1:eJwUl3k41d8Tx7WQJKFNqGwJWcpaqcYaSbKTLfvu3s9FQhESFbKkoiwRvhVJ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        "]]},
      Annotation[#, "Charting`Private`Tag$936160#1"]& ]}, {}, {}}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{-0.9999999952952883, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  ImageSize->{339., Automatic},
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{All, All},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.7865331018291483`*^9, 3.7865331422520657`*^9}},
 CellLabel->"Out[54]=",ExpressionUUID->"9e692a79-2801-47da-b74d-026df1cf22e7"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"Clear", "[", "f", "]"}], ";"}]], "Input",
 CellChangeTimes->{{3.786587570801916*^9, 3.7865875737520657`*^9}},
 CellLabel->
  "In[225]:=",ExpressionUUID->"2748aaa9-1b7d-47fc-afff-8de61c7d0862"],

Cell[BoxData[{
 RowBox[{
  RowBox[{"f", "[", "x_", "]"}], ":=", 
  RowBox[{"x", "*", 
   RowBox[{"(", 
    RowBox[{"1", "-", "x"}], ")"}]}]}], "\n", 
 RowBox[{
  RowBox[{"\[Phi]", "=", 
   RowBox[{"0.5", 
    RowBox[{"Map", "[", 
     RowBox[{"f", ",", 
      RowBox[{"Range", "[", 
       RowBox[{"0", ",", "1", ",", "0.0001"}], "]"}]}], "]"}]}]}], 
  ";"}]}], "Input",
 CellChangeTimes->{{3.7865332361147375`*^9, 3.786533264523761*^9}, {
   3.7865875647138386`*^9, 3.786587569118567*^9}, {3.7865884726639147`*^9, 
   3.786588480262638*^9}, 
   3.7865919895969534`*^9},ExpressionUUID->"af2f8b1a-f594-4d6e-9e10-\
5b1e79ae8946"],

Cell[BoxData[
 RowBox[{
  RowBox[{"V", "=", "0"}], ";"}]], "Input",
 CellChangeTimes->{{3.786534848976787*^9, 3.7865348509764385`*^9}},
 CellLabel->"In[63]:=",ExpressionUUID->"02d12318-a6bc-4ad1-b760-c12bcaeb58ab"],

Cell[BoxData[
 RowBox[{"Module", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"\[Phi]1", ",", "\[Phi]2", ",", "i", ",", "j", ",", 
     RowBox[{"\[Tau]", "=", "1"}]}], "}"}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"\[Phi]1", "=", "\[Phi]"}], ";", "\[IndentingNewLine]", 
    RowBox[{"\[Phi]2", "=", "\[Phi]"}], ";", "\[IndentingNewLine]", 
    RowBox[{"i", "=", "1"}], ";", 
    RowBox[{"j", "=", "1"}], ";", "\[IndentingNewLine]", 
    RowBox[{"While", "[", 
     RowBox[{
      RowBox[{"i", "<", "1000"}], ",", 
      RowBox[{
       RowBox[{"{", "\[IndentingNewLine]", 
        RowBox[{"While", "[", 
         RowBox[{
          RowBox[{"j", "<", "999"}], ",", 
          RowBox[{
           RowBox[{"{", 
            RowBox[{
             RowBox[{
              RowBox[{"\[Phi]2", "[", 
               RowBox[{"[", "j", "]"}], "]"}], "=", 
              RowBox[{
               RowBox[{"\[Phi]1", "[", 
                RowBox[{"[", "j", "]"}], "]"}], "+", 
               RowBox[{
                RowBox[{"\[Tau]", "/", 
                 RowBox[{"h", "^", "2"}]}], "*", 
                RowBox[{"(", 
                 RowBox[{
                  RowBox[{"\[Phi]1", "[", 
                   RowBox[{"[", 
                    RowBox[{"j", "-", "1"}], "]"}], "]"}], "+", 
                  RowBox[{"\[Phi]1", "[", 
                   RowBox[{"[", 
                    RowBox[{"j", "+", "1"}], "]"}], "]"}], "-", 
                  RowBox[{"2", 
                   RowBox[{"\[Phi]1", "[", 
                    RowBox[{"[", "j", "]"}], "]"}]}]}], ")"}]}], "+", 
               RowBox[{"V", "*", 
                RowBox[{"\[Phi]1", "[", 
                 RowBox[{"[", "j", "]"}], "]"}]}]}]}], ";", 
             "\[IndentingNewLine]", 
             RowBox[{
              RowBox[{"{", 
               RowBox[{"\[Phi]1", ",", "\[Phi]2"}], "}"}], "=", 
              RowBox[{"{", 
               RowBox[{"\[Phi]2", ",", "\[Phi]1"}], "}"}]}]}], "}"}], ";", 
           RowBox[{"j", "++"}]}]}], "]"}], "}"}], ";", 
       RowBox[{"i", "++"}]}]}], "]"}], ";", "\[IndentingNewLine]", 
    RowBox[{"Return", "[", "\[Phi]2", "]"}]}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7865334162339635`*^9, 3.78653345565151*^9}, {
  3.786533521087509*^9, 3.7865337988663626`*^9}, {3.786533846899943*^9, 
  3.786533912636671*^9}, {3.786534806433563*^9, 3.786534855859412*^9}},
 CellLabel->"In[64]:=",ExpressionUUID->"b6dc9b81-a45a-421f-91c4-63ddd2c9db1c"],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.7865333549827576`*^9, 
  3.7865333562603035`*^9}},ExpressionUUID->"a675a96e-da3a-49a3-9118-\
d13f2ee05dec"],

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Tau]", "=", "1"}], ";"}]], "Input",
 CellChangeTimes->{{3.7865349131985884`*^9, 3.7865349146397266`*^9}, {
  3.7865349542997*^9, 3.786534957041831*^9}, {3.786535804331752*^9, 
  3.7865358044624023`*^9}},
 CellLabel->
  "In[128]:=",ExpressionUUID->"452c7460-3e87-40cc-bcdc-3b3694bba769"],

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Phi]1", "=", 
   RowBox[{"\[Phi]2", "=", "\[Phi]"}]}], ";"}]], "Input",
 CellChangeTimes->{{3.786535100427104*^9, 3.78653510594839*^9}},
 CellLabel->"In[95]:=",ExpressionUUID->"2bb536f2-687c-489e-b1c0-098e645e540a"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Phi]2", "[", 
   RowBox[{"[", "j", "]"}], "]"}], "=", 
  RowBox[{
   RowBox[{"\[Phi]1", "[", 
    RowBox[{"[", "j", "]"}], "]"}], "+", 
   RowBox[{
    RowBox[{"\[Tau]", "/", 
     RowBox[{"h", "^", "2"}]}], "*", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"\[Phi]1", "[", 
       RowBox[{"[", 
        RowBox[{"j", "-", "1"}], "]"}], "]"}], "+", 
      RowBox[{"\[Phi]1", "[", 
       RowBox[{"[", 
        RowBox[{"j", "+", "1"}], "]"}], "]"}], "-", 
      RowBox[{"2", 
       RowBox[{"\[Phi]1", "[", 
        RowBox[{"[", "j", "]"}], "]"}]}]}], ")"}]}], "+", 
   RowBox[{"V", "*", 
    RowBox[{"\[Phi]1", "[", 
     RowBox[{"[", "j", "]"}], "]"}]}]}]}]], "Input",
 CellLabel->"In[81]:=",ExpressionUUID->"810029ff-eb81-4b3e-997b-f6c984695ca6"],

Cell[BoxData["0.001`"], "Output",
 CellChangeTimes->{3.7865351173089905`*^9},
 CellLabel->"Out[81]=",ExpressionUUID->"33a5da44-10e4-4cc9-bd41-80c2cc16cf68"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"j", "=", "11"}]], "Input",
 CellChangeTimes->{{3.7865352846381855`*^9, 3.786535303246421*^9}},
 CellLabel->"In[90]:=",ExpressionUUID->"20368e29-0516-43d6-bf5b-02e5437f0c6f"],

Cell[BoxData["11"], "Output",
 CellChangeTimes->{{3.7865352879113913`*^9, 3.7865353039185824`*^9}},
 CellLabel->"Out[90]=",ExpressionUUID->"c931d1d5-ed99-4aa6-a294-641b021ae621"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{
  RowBox[{"\[Phi]2", "[", 
   RowBox[{"[", "j", "]"}], "]"}], "=", 
  RowBox[{
   RowBox[{"\[Phi]1", "[", 
    RowBox[{"[", "j", "]"}], "]"}], "+", 
   RowBox[{
    RowBox[{"\[Tau]", "/", 
     RowBox[{"h", "^", "2"}]}], "*", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{"\[Phi]1", "[", 
       RowBox[{"[", 
        RowBox[{"j", "-", "1"}], "]"}], "]"}], "+", 
      RowBox[{"\[Phi]1", "[", 
       RowBox[{"[", 
        RowBox[{"j", "+", "1"}], "]"}], "]"}], "-", 
      RowBox[{"2", 
       RowBox[{"\[Phi]1", "[", 
        RowBox[{"[", "j", "]"}], "]"}]}]}], ")"}]}], "+", 
   RowBox[{"V", "*", 
    RowBox[{"\[Phi]1", "[", 
     RowBox[{"[", "j", "]"}], "]"}]}]}]}]], "Input",
 CellLabel->"In[91]:=",ExpressionUUID->"214ff172-6f04-48da-ab65-7863c453e5fd"],

Cell[BoxData["0.01`"], "Output",
 CellChangeTimes->{{3.786535291436962*^9, 3.786535305302911*^9}},
 CellLabel->"Out[91]=",ExpressionUUID->"60c6539e-b218-49c8-b02e-bbc5c312ecdf"]
}, Open  ]],

Cell[BoxData[
 RowBox[{
  RowBox[{"h", "=", "0.001"}], ";", 
  RowBox[{"\[Tau]", "=", "0.02"}], ";"}]], "Input",
 CellChangeTimes->{{3.7865712207578564`*^9, 3.7865712401091394`*^9}, {
   3.7865713387653446`*^9, 3.7865713655900817`*^9}, {3.7865766441391306`*^9, 
   3.786576644590885*^9}, {3.786584908595065*^9, 3.7865849093520393`*^9}, {
   3.786587681668929*^9, 3.7865876818245115`*^9}, {3.7865877807464952`*^9, 
   3.786587816743103*^9}, {3.786587903688708*^9, 3.786587906117174*^9}, 
   3.786591974344787*^9, {3.786592007234844*^9, 3.786592008341823*^9}, {
   3.786592193870247*^9, 3.7865921960165462`*^9}, 3.7865922511563582`*^9, 
   3.7865924428037214`*^9},
 CellLabel->
  "In[457]:=",ExpressionUUID->"789a0be6-a6de-408a-86d9-7b0861d5e5f5"],

Cell[BoxData[{
 RowBox[{
  RowBox[{"f", "[", "x_", "]"}], ":=", 
  RowBox[{"x", "*", 
   RowBox[{"(", 
    RowBox[{"1", "-", "x"}], ")"}]}]}], "\n", 
 RowBox[{
  RowBox[{"\[Phi]", "=", 
   RowBox[{"0.5", 
    RowBox[{"Map", "[", 
     RowBox[{"f", ",", 
      RowBox[{"Range", "[", 
       RowBox[{"0", ",", "1", ",", "0.001"}], "]"}]}], "]"}]}]}], 
  ";"}]}], "Input",
 CellChangeTimes->{{3.7865332361147375`*^9, 3.786533264523761*^9}, {
   3.7865875647138386`*^9, 3.786587569118567*^9}, {3.7865884726639147`*^9, 
   3.786588480262638*^9}, 3.7865919895969534`*^9, 3.7865925018102803`*^9},
 CellLabel->
  "In[472]:=",ExpressionUUID->"84cecc25-14e0-45c8-b672-ce1616d74bc6"],

Cell[BoxData[{
 RowBox[{
  RowBox[{"\[Phi]1", "=", "\[Phi]"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"\[Phi]2", "=", "\[Phi]"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"j", "=", "2"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"i", "=", "1"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"l", "=", 
   RowBox[{"{", "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"While", "[", 
   RowBox[{
    RowBox[{"i", "<", "5"}], ",", 
    RowBox[{
     RowBox[{"{", "\[IndentingNewLine]", 
      RowBox[{
       RowBox[{"While", "[", 
        RowBox[{
         RowBox[{"j", "<", 
          RowBox[{"Length", "[", "\[Phi]2", "]"}]}], ",", 
         "\[IndentingNewLine]", 
         RowBox[{
          RowBox[{"{", 
           RowBox[{
            RowBox[{
             RowBox[{"\[Phi]1", "[", 
              RowBox[{"[", "j", "]"}], "]"}], "=", 
             RowBox[{
              RowBox[{
               RowBox[{
                RowBox[{"(", 
                 RowBox[{
                  RowBox[{"\[Phi]1", "[", 
                   RowBox[{"[", 
                    RowBox[{"j", "-", "1"}], "]"}], "]"}], "+", 
                  RowBox[{"\[Phi]1", "[", 
                   RowBox[{"[", 
                    RowBox[{"j", "+", "1"}], "]"}], "]"}], "-", 
                  RowBox[{"2", 
                   RowBox[{"\[Phi]1", "[", 
                    RowBox[{"[", "j", "]"}], "]"}]}]}], ")"}], "/", 
                RowBox[{"h", "^", "2"}]}], "*", "\[Tau]"}], "+", 
              RowBox[{"\[Phi]1", "[", 
               RowBox[{"[", "j", "]"}], "]"}]}]}], ";"}], 
           "\[IndentingNewLine]", "}"}], ";", 
          RowBox[{"j", "++"}]}]}], "]"}], ";"}], "}"}], ";", 
     "\[IndentingNewLine]", 
     RowBox[{"AppendTo", "[", 
      RowBox[{"l", ",", "\[Phi]1"}], "]"}], ";", "\[IndentingNewLine]", 
     RowBox[{"i", "++"}]}]}], "]"}], ";"}]}], "Input",
 CellChangeTimes->{{3.786535010155301*^9, 3.786535046215373*^9}, {
   3.7865351450938473`*^9, 3.7865351557273703`*^9}, {3.786535222370158*^9, 
   3.786535222602536*^9}, {3.7865352557099943`*^9, 3.7865352562764797`*^9}, {
   3.786535511887257*^9, 3.786535547260144*^9}, {3.7865355811743164`*^9, 
   3.7865355817338495`*^9}, {3.786535687544567*^9, 3.786535706555684*^9}, {
   3.7865357459318867`*^9, 3.7865357493118935`*^9}, {3.7865359169371576`*^9, 
   3.7865359178876495`*^9}, {3.786571008335307*^9, 3.7865710470474553`*^9}, {
   3.7865766007973413`*^9, 3.7865766124054933`*^9}, {3.786585577774107*^9, 
   3.7865856108695974`*^9}, {3.786585701010942*^9, 3.786585974791542*^9}, {
   3.7865860854060717`*^9, 3.7865861200683317`*^9}, {3.7865861510187454`*^9, 
   3.7865862344375467`*^9}, 3.7865862645614543`*^9, {3.7865863401642647`*^9, 
   3.7865865208570957`*^9}, {3.786586570367201*^9, 3.786586599384636*^9}, {
   3.7865866380457554`*^9, 3.786586661018318*^9}, {3.786586710656395*^9, 
   3.7865867843587627`*^9}, 3.7865876080299034`*^9, {3.786587709235243*^9, 
   3.7865877315689898`*^9}, {3.7865880397583466`*^9, 
   3.7865881079300785`*^9}, {3.786588149720356*^9, 3.786588173764645*^9}, {
   3.7865883755900145`*^9, 3.7865883830260887`*^9}, {3.786588606395839*^9, 
   3.7865886357642965`*^9}, {3.7865886728586006`*^9, 3.786588699431573*^9}, 
   3.7865888657895603`*^9, {3.7865916955327263`*^9, 3.7865916971972733`*^9}, {
   3.786591828720626*^9, 3.7865918361666746`*^9}, {3.7865921165115595`*^9, 
   3.7865921169534206`*^9}, {3.786592255779993*^9, 3.7865922562368107`*^9}, {
   3.7865924608454714`*^9, 3.786592465338455*^9}, {3.7865925651554165`*^9, 
   3.7865926420522475`*^9}},
 CellLabel->
  "In[501]:=",ExpressionUUID->"ffa115bb-bb69-479a-b012-18949780972c"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"Show", "[", 
    RowBox[{"(*", 
     RowBox[{
      RowBox[{"ListPlot", "[", 
       RowBox[{"\[Phi]", ",", 
        RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",", 
        RowBox[{"PlotRange", "\[Rule]", "Full"}]}], "]"}], ","}], "*)"}], 
    RowBox[{"ListPlot", "[", 
     RowBox[{
      RowBox[{"l", "[", 
       RowBox[{"[", "n", "]"}], "]"}], ",", 
      RowBox[{"PlotStyle", "\[Rule]", "Green"}], ",", 
      RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"n", ",", "1", ",", "4"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.7865355959229035`*^9, 3.786535601102326*^9}, {
   3.7865765551722493`*^9, 3.7865765921265306`*^9}, {3.7865766681151*^9, 
   3.7865766725960865`*^9}, {3.786584879349264*^9, 3.7865848812143145`*^9}, {
   3.7865849660130787`*^9, 3.786584985597701*^9}, 3.78658762522891*^9, {
   3.7865877455970283`*^9, 3.7865877729394107`*^9}, {3.7865878733132815`*^9, 
   3.786587876226451*^9}, {3.786588185022537*^9, 3.7865882672331896`*^9}, {
   3.7865882986248617`*^9, 3.786588337262478*^9}, {3.7865884098528852`*^9, 
   3.7865884103295774`*^9}, {3.786589022320365*^9, 3.7865890362550993`*^9}, 
   3.7865920703934183`*^9, {3.7865921657185097`*^9, 3.786592175104918*^9}, {
   3.786592470618335*^9, 3.7865924779028525`*^9}, {3.7865926562552633`*^9, 
   3.7865926636804066`*^9}},
 CellLabel->
  "In[508]:=",ExpressionUUID->"cca53251-c7d5-4785-940f-855457d7de0a"],

Cell[BoxData[
 TemplateBox[{
  "ListPlot","prng",
   "\"\:9009\:9879\:503c PlotRange -> \\!\\(\\*RowBox[{\\\"{\\\", \
RowBox[{RowBox[{\\\"{\\\", RowBox[{\\\"0\\\", \\\",\\\", \\\"1001.`\\\"}], \\\
\"}\\\"}], \\\",\\\", RowBox[{\\\"{\\\", RowBox[{RowBox[{\\\"-\\\", \
\\\"5.3578109264784842445621847583254`15.954589770191005*^4290\\\"}], \\\",\\\
\", \\\"0\\\"}], \\\"}\\\"}]}], \\\"}\\\"}]\\) \:4e0d\:662f All\:3001Full\
\:3001Automatic\:3001\:4e00\:4e2a\:673a\:5668\:7cbe\:5ea6\:6b63\:6570\:ff0c\
\:6216\:8005\:7531\:8303\:56f4\:6307\:5b9a\:7ec4\:6210\:7684\:6070\:5f53\:5217\
\:8868.\"",2,508,55,27782197510496002735,"Local"},
  "MessageTemplate"]], "Message", "MSG",
 CellChangeTimes->{
  3.7865926062604537`*^9, {3.7865926448397913`*^9, 3.7865926645860167`*^9}},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[508]:=",ExpressionUUID->"0f3c6a9b-e011-48b9-\
bf50-e0ed00201188"],

Cell[BoxData[
 TemplateBox[{
  "ListPlot","prng",
   "\"\:9009\:9879\:503c PlotRange -> \\!\\(\\*RowBox[{\\\"{\\\", \
RowBox[{RowBox[{\\\"{\\\", RowBox[{\\\"0\\\", \\\",\\\", \\\"1001.`\\\"}], \\\
\"}\\\"}], \\\",\\\", RowBox[{\\\"{\\\", RowBox[{RowBox[{\\\"-\\\", \
\\\"5.3578109264784842445621847583254`15.954589770191005*^4290\\\"}], \\\",\\\
\", \\\"0\\\"}], \\\"}\\\"}]}], \\\"}\\\"}]\\) \:4e0d\:662f All\:3001Full\
\:3001Automatic\:3001\:4e00\:4e2a\:673a\:5668\:7cbe\:5ea6\:6b63\:6570\:ff0c\
\:6216\:8005\:7531\:8303\:56f4\:6307\:5b9a\:7ec4\:6210\:7684\:6070\:5f53\:5217\
\:8868.\"",2,508,56,27782197510496002735,"Local"},
  "MessageTemplate"]], "Message", "MSG",
 CellChangeTimes->{
  3.7865926062604537`*^9, {3.7865926448397913`*^9, 3.7865926647296*^9}},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[508]:=",ExpressionUUID->"557d6f13-9c86-414d-\
966f-d8af690a2f82"],

Cell[BoxData[
 TemplateBox[{
  "ListPlot","prng",
   "\"\:9009\:9879\:503c PlotRange -> \\!\\(\\*RowBox[{\\\"{\\\", \
RowBox[{RowBox[{\\\"{\\\", RowBox[{\\\"0\\\", \\\",\\\", \\\"1001.`\\\"}], \\\
\"}\\\"}], \\\",\\\", RowBox[{\\\"{\\\", RowBox[{RowBox[{\\\"-\\\", \
\\\"5.3578109264784842445621847583254`15.954589770191005*^4290\\\"}], \\\",\\\
\", \\\"0\\\"}], \\\"}\\\"}]}], \\\"}\\\"}]\\) \:4e0d\:662f All\:3001Full\
\:3001Automatic\:3001\:4e00\:4e2a\:673a\:5668\:7cbe\:5ea6\:6b63\:6570\:ff0c\
\:6216\:8005\:7531\:8303\:56f4\:6307\:5b9a\:7ec4\:6210\:7684\:6070\:5f53\:5217\
\:8868.\"",2,508,57,27782197510496002735,"Local"},
  "MessageTemplate"]], "Message", "MSG",
 CellChangeTimes->{
  3.7865926062604537`*^9, {3.7865926448397913`*^9, 3.7865926648462887`*^9}},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[508]:=",ExpressionUUID->"bec82267-8ca8-4e57-\
9495-fff170c06ded"],

Cell[BoxData[
 TemplateBox[{
  "General","stop",
   "\"\:5728\:672c\:6b21\:8ba1\:7b97\:4e2d\:ff0c\\!\\(\\*StyleBox[RowBox[{\\\"\
ListPlot\\\", \\\"::\\\", \\\"prng\\\"}], \\\"MessageName\\\"]\\) \
\:7684\:8fdb\:4e00\:6b65\:8f93\:51fa\:5c06\:88ab\:6291\:5236.\"",2,508,58,
   27782197510496002735,"Local"},
  "MessageTemplate"]], "Message", "MSG",
 CellChangeTimes->{
  3.7865926062604537`*^9, {3.7865926448397913`*^9, 3.7865926649210887`*^9}},
 CellLabel->
  "\:6b63\:5728\:8ba1\:7b97In[508]:=",ExpressionUUID->"61fb27eb-f71a-4289-\
89a3-d292e34e416d"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{
   GraphicsBox[{{}, {{}, 
      {RGBColor[0, 1, 0], PointSize[0.0055000000000000005`], 
       AbsoluteThickness[1.6], PointBox[CompressedData["
1:eJxV0WtMk2cYxvEXSsVNrLjgBgylBYPOtGJVtKKDCyiFlraUbt2ymblq8DAx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        "]]}, {}}, {}, {}, {}, {}},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->{True, True},
    AxesLabel->{None, None},
    AxesOrigin->{0, 0},
    DisplayFunction->Identity,
    Frame->{{False, False}, {False, False}},
    FrameLabel->{{None, None}, {None, None}},
    FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
    GridLines->{None, None},
    GridLinesStyle->Directive[
      GrayLevel[0.5, 0.4]],
    ImagePadding->All,
    Method->{"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& ), "CopiedValueFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& )}},
    PlotRange->{{
      0, 1001.}, {-5.3578109264784842445621847583254`15.954589770191005*^4290,
        0}},
    PlotRangeClipping->True,
    PlotRangePadding->{{
       Scaled[0.02], 
       Scaled[0.02]}, {
       Scaled[0.05], 
       Scaled[0.02]}},
    Ticks->{Automatic, Automatic}], ",", 
   GraphicsBox[{{}, {{}, 
      {RGBColor[0, 1, 0], PointSize[0.0055000000000000005`], 
       AbsoluteThickness[1.6], PointBox[CompressedData["
1:eJxV0WtMk2cYxvEXSsVNrLjgBgylBYPOtGJVtKKDCyiFlraUbt2ymblq8DAx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        "]]}, {}}, {}, {}, {}, {}},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->{True, True},
    AxesLabel->{None, None},
    AxesOrigin->{0, 0},
    DisplayFunction->Identity,
    Frame->{{False, False}, {False, False}},
    FrameLabel->{{None, None}, {None, None}},
    FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
    GridLines->{None, None},
    GridLinesStyle->Directive[
      GrayLevel[0.5, 0.4]],
    ImagePadding->All,
    Method->{"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& ), "CopiedValueFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& )}},
    PlotRange->{{
      0, 1001.}, {-5.3578109264784842445621847583254`15.954589770191005*^4290,
        0}},
    PlotRangeClipping->True,
    PlotRangePadding->{{
       Scaled[0.02], 
       Scaled[0.02]}, {
       Scaled[0.05], 
       Scaled[0.02]}},
    Ticks->{Automatic, Automatic}], ",", 
   GraphicsBox[{{}, {{}, 
      {RGBColor[0, 1, 0], PointSize[0.0055000000000000005`], 
       AbsoluteThickness[1.6], PointBox[CompressedData["
1:eJxV0WtMk2cYxvEXSsVNrLjgBgylBYPOtGJVtKKDCyiFlraUbt2ymblq8DAx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        "]]}, {}}, {}, {}, {}, {}},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->{True, True},
    AxesLabel->{None, None},
    AxesOrigin->{0, 0},
    DisplayFunction->Identity,
    Frame->{{False, False}, {False, False}},
    FrameLabel->{{None, None}, {None, None}},
    FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
    GridLines->{None, None},
    GridLinesStyle->Directive[
      GrayLevel[0.5, 0.4]],
    ImagePadding->All,
    Method->{"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& ), "CopiedValueFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& )}},
    PlotRange->{{
      0, 1001.}, {-5.3578109264784842445621847583254`15.954589770191005*^4290,
        0}},
    PlotRangeClipping->True,
    PlotRangePadding->{{
       Scaled[0.02], 
       Scaled[0.02]}, {
       Scaled[0.05], 
       Scaled[0.02]}},
    Ticks->{Automatic, Automatic}], ",", 
   GraphicsBox[{{}, {{}, 
      {RGBColor[0, 1, 0], PointSize[0.0055000000000000005`], 
       AbsoluteThickness[1.6], PointBox[CompressedData["
1:eJxV0WtMk2cYxvEXSsVNrLjgBgylBYPOtGJVtKKDCyiFlraUbt2ymblq8DAx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        "]]}, {}}, {}, {}, {}, {}},
    AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
    Axes->{True, True},
    AxesLabel->{None, None},
    AxesOrigin->{0, 0},
    DisplayFunction->Identity,
    Frame->{{False, False}, {False, False}},
    FrameLabel->{{None, None}, {None, None}},
    FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
    GridLines->{None, None},
    GridLinesStyle->Directive[
      GrayLevel[0.5, 0.4]],
    ImagePadding->All,
    Method->{"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& ), "CopiedValueFunction" -> ({
          (Identity[#]& )[
           Part[#, 1]], 
          (Identity[#]& )[
           Part[#, 2]]}& )}},
    PlotRange->{{
      0, 1001.}, {-5.3578109264784842445621847583254`15.954589770191005*^4290,
        0}},
    PlotRangeClipping->True,
    PlotRangePadding->{{
       Scaled[0.02], 
       Scaled[0.02]}, {
       Scaled[0.05], 
       Scaled[0.02]}},
    Ticks->{Automatic, Automatic}]}], "}"}]], "Output",
 CellChangeTimes->{
  3.786589038715518*^9, 3.786591839843877*^9, 3.7865920260155563`*^9, 
   3.7865920719272795`*^9, {3.7865921056456175`*^9, 3.7865921201388955`*^9}, {
   3.786592171632206*^9, 3.786592201300408*^9}, 3.7865922599119425`*^9, 
   3.7865924488515463`*^9, {3.786592479922451*^9, 3.786592509151706*^9}, {
   3.786592586510272*^9, 3.78659260678904*^9}, {3.786592647992361*^9, 
   3.7865926650278025`*^9}},
 CellLabel->
  "Out[508]=",ExpressionUUID->"d8c10f6b-86f3-49c2-862a-d47ade07ba8e"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{
  3.7865890699295526`*^9, 3.786589489826717*^9, {3.7865895445234356`*^9, 
   3.7865895493725004`*^9}},ExpressionUUID->"e8c205f9-b6ed-4c11-abb4-\
e46f201b55ef"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListPlot", "[", "\[Phi]", "]"}]], "Input",
 CellChangeTimes->{{3.78653560547563*^9, 3.7865356136926537`*^9}},
 CellLabel->
  "In[162]:=",ExpressionUUID->"46b95fce-73fc-48b0-9b6c-7453a3dae780"],

Cell[BoxData[
 GraphicsBox[{{}, {{}, 
    {RGBColor[0.368417, 0.506779, 0.709798], PointSize[0.004583333333333334], 
     AbsoluteThickness[1.6], PointBox[CompressedData["
1:eJxdm3dYk1cbxlO70NZKnVitxlm02uKooi1614lWEZy4owxBRMMO+83egVoH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      "]]}, {}}, {}, {}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0., 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  ImageSize->{260., Automatic},
  Method->{"CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0., 1001.}, {0, 0.5}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.02], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{3.786535614595785*^9, 3.7865356472079515`*^9, 
  3.7865710665779305`*^9},
 CellLabel->
  "Out[162]=",ExpressionUUID->"e77de772-a50d-48f7-8765-46d23301494c"]
}, Open  ]],

Cell[BoxData[""], "Input",
 CellChangeTimes->{{3.786576407206644*^9, 
  3.786576410106863*^9}},ExpressionUUID->"8abee1d0-64af-4b47-a50e-\
4271d707a24f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot", "[", 
  RowBox[{
   RowBox[{
    RowBox[{
     RowBox[{"Sqrt", "[", "2", "]"}], "*", 
     RowBox[{"Sin", "[", 
      RowBox[{"\[Lambda]", " ", "Pi", " ", "x"}], "]"}]}], "/.", 
    RowBox[{"{", 
     RowBox[{"\[Lambda]", "\[Rule]", "1"}], "}"}]}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.78657638338631*^9, 3.786576468250047*^9}},
 CellLabel->"In[3]:=",ExpressionUUID->"44e43950-e012-4e4c-b48e-5777048123dc"],

Cell[BoxData[
 GraphicsBox[{{{}, {}, 
    TagBox[
     {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[
      1.], LineBox[CompressedData["
1:eJwV2Hk4VesXB3CiKEVEopIhkjRJGsi3QoNU5qFbSKbkZ6xESjKEhCSpkMpN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       "]]},
     Annotation[#, "Charting`Private`Tag$2366#1"]& ]}, {}, {}},
  AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
  Axes->{True, True},
  AxesLabel->{None, None},
  AxesOrigin->{0, 0},
  DisplayFunction->Identity,
  Frame->{{False, False}, {False, False}},
  FrameLabel->{{None, None}, {None, None}},
  FrameTicks->{{Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}, {Automatic, 
     Charting`ScaledFrameTicks[{Identity, Identity}]}},
  GridLines->{None, None},
  GridLinesStyle->Directive[
    GrayLevel[0.5, 0.4]],
  ImagePadding->All,
  Method->{
   "DefaultBoundaryStyle" -> Automatic, "DefaultMeshStyle" -> 
    AbsolutePointSize[6], "ScalingFunctions" -> None, 
    "CoordinatesToolOptions" -> {"DisplayFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& ), "CopiedValueFunction" -> ({
        (Identity[#]& )[
         Part[#, 1]], 
        (Identity[#]& )[
         Part[#, 2]]}& )}},
  PlotRange->{{0, 1}, {0., 1.4142135210332178`}},
  PlotRangeClipping->True,
  PlotRangePadding->{{
     Scaled[0.02], 
     Scaled[0.02]}, {
     Scaled[0.05], 
     Scaled[0.05]}},
  Ticks->{Automatic, Automatic}]], "Output",
 CellChangeTimes->{{3.7865764239339886`*^9, 3.786576469201544*^9}, 
   3.7865773346655645`*^9},
 CellLabel->"Out[3]=",ExpressionUUID->"a634ba34-b59c-4a7b-b3ad-9ae376b43525"]
}, Open  ]],

Cell[BoxData[
 RowBox[{"Clear", "[", "\[Phi]", "]"}]], "Input",
 CellChangeTimes->{{3.7865768258912153`*^9, 3.78657683292242*^9}},
 CellLabel->
  "In[280]:=",ExpressionUUID->"dae5f7c2-877f-4fdc-972a-c9ebbe42b3e7"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"mm", "=", 
  RowBox[{"NDSolve", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{
       RowBox[{"D", "[", 
        RowBox[{
         RowBox[{"\[Phi]", "[", 
          RowBox[{"t", ",", "x"}], "]"}], ",", "t"}], "]"}], "\[Equal]", 
       RowBox[{"D", "[", 
        RowBox[{
         RowBox[{"\[Phi]", "[", 
          RowBox[{"t", ",", "x"}], "]"}], ",", 
         RowBox[{"{", 
          RowBox[{"x", ",", "2"}], "}"}]}], "]"}]}], ",", 
      RowBox[{
       RowBox[{"\[Phi]", "[", 
        RowBox[{"0", ",", "x"}], "]"}], "\[Equal]", 
       RowBox[{"Sin", "[", 
        RowBox[{"Pi", " ", "x"}], "]"}]}], ",", 
      RowBox[{
       RowBox[{"\[Phi]", "[", 
        RowBox[{"t", ",", "0"}], "]"}], "\[Equal]", 
       RowBox[{"\[Phi]", "[", 
        RowBox[{"t", ",", "1"}], "]"}], "\[Equal]", "0"}]}], "}"}], ",", 
    RowBox[{"\[Phi]", "[", 
     RowBox[{"t", ",", "x"}], "]"}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}]}]], "Input",
 CellChangeTimes->{{3.786576807089453*^9, 3.786576966185779*^9}, {
   3.7865770118010874`*^9, 3.7865770169982176`*^9}, {3.7865770961745715`*^9, 
   3.7865771440151033`*^9}, 3.7865772171443157`*^9, 3.786577273468655*^9, {
   3.7865846482800694`*^9, 3.786584671654587*^9}, {3.7865878377330065`*^9, 
   3.7865878446797237`*^9}},
 CellLabel->
  "In[281]:=",ExpressionUUID->"040253b6-8cda-4fe1-92fe-aba90c07bb32"],

Cell[BoxData[
 RowBox[{"{", 
  RowBox[{"{", 
   RowBox[{
    RowBox[{"\[Phi]", "[", 
     RowBox[{"t", ",", "x"}], "]"}], "\[Rule]", 
    RowBox[{
     InterpretationBox[
      RowBox[{
       TagBox["InterpolatingFunction",
        "SummaryHead"], "[", 
       DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = 
        "Ready"}, 
        TemplateBox[{PaneSelectorBox[{False -> GridBox[{{
                PaneBox[
                 ButtonBox[
                  DynamicBox[
                   FEPrivate`FrontEndResource[
                   "FEBitmaps", "SquarePlusIconMedium"]], 
                  ButtonFunction :> (Typeset`open$$ = True), Appearance -> 
                  None, Evaluator -> Automatic, Method -> "Preemptive"], 
                 Alignment -> {Center, Center}, ImageSize -> 
                 Dynamic[{
                   Automatic, 3.5 CurrentValue["FontCapHeight"]/
                    AbsoluteCurrentValue[Magnification]}]], 
                GraphicsBox[{{
                   GrayLevel[0.6], 
                   AbsolutePointSize[5], 
                   PointBox[{1, 1}], 
                   PointBox[{2, 4}], 
                   PointBox[{3, 2}], 
                   PointBox[{4, 3}]}, {{}, {}, {
                    AbsoluteThickness[1], 
                    Opacity[1.], 
                    LineBox[CompressedData["
1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5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                    "]]}}}, AspectRatio -> 1, Axes -> False, Background -> 
                 GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[
                   GrayLevel[0.7], 
                   Thickness[Tiny]], FrameTicks -> None, 
                 ImageSize -> {Automatic, 
                   Dynamic[
                   3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])]}, PlotRange -> {{0, 5}, {0, 5}}], 
                GridBox[{{
                   RowBox[{
                    TagBox["\"Domain: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox[
                    RowBox[{"{", 
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}], ",", 
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}]}], "}"}], 
                    "SummaryItem"]}]}, {
                   RowBox[{
                    TagBox["\"Output: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"scalar\"", "SummaryItem"]}]}}, 
                 GridBoxAlignment -> {
                  "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
                 False, GridBoxItemSize -> {
                  "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
                 GridBoxSpacings -> {
                  "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, 
                 BaseStyle -> {
                  ShowStringCharacters -> False, NumberMarks -> False, 
                   PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
              GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
              GridBoxItemSize -> {
               "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
              BaselinePosition -> {1, 1}], True -> GridBox[{{
                PaneBox[
                 ButtonBox[
                  DynamicBox[
                   FEPrivate`FrontEndResource[
                   "FEBitmaps", "SquareMinusIconMedium"]], 
                  ButtonFunction :> (Typeset`open$$ = False), Appearance -> 
                  None, Evaluator -> Automatic, Method -> "Preemptive"], 
                 Alignment -> {Center, Center}, ImageSize -> 
                 Dynamic[{
                   Automatic, 3.5 CurrentValue["FontCapHeight"]/
                    AbsoluteCurrentValue[Magnification]}]], 
                GraphicsBox[{{
                   GrayLevel[0.6], 
                   AbsolutePointSize[5], 
                   PointBox[{1, 1}], 
                   PointBox[{2, 4}], 
                   PointBox[{3, 2}], 
                   PointBox[{4, 3}]}, {{}, {}, {
                    AbsoluteThickness[1], 
                    Opacity[1.], 
                    LineBox[CompressedData["
1:eJwBMQPO/CFib1JlAgAAADIAAAACAAAA4ScLwZmZ6T/ACPskWpOYv4AjHgZ5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                    "]]}}}, AspectRatio -> 1, Axes -> False, Background -> 
                 GrayLevel[0.93], Frame -> True, FrameStyle -> Directive[
                   GrayLevel[0.7], 
                   Thickness[Tiny]], FrameTicks -> None, 
                 ImageSize -> {Automatic, 
                   Dynamic[
                   3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[
                    Magnification])]}, PlotRange -> {{0, 5}, {0, 5}}], 
                GridBox[{{
                   RowBox[{
                    TagBox["\"Domain: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox[
                    RowBox[{"{", 
                    RowBox[{
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}], ",", 
                    RowBox[{"{", 
                    RowBox[{"0.`", ",", "1.`"}], "}"}]}], "}"}], 
                    "SummaryItem"]}]}, {
                   RowBox[{
                    TagBox["\"Output: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"scalar\"", "SummaryItem"]}]}, {
                   RowBox[{
                    TagBox["\"Order: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox[
                    RowBox[{"{", 
                    RowBox[{"3", ",", "5"}], "}"}], "SummaryItem"]}]}, {
                   RowBox[{
                    TagBox["\"Method: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["\"Hermite\"", "SummaryItem"]}]}, {
                   RowBox[{
                    TagBox["\"Periodic: \"", "SummaryItemAnnotation"], 
                    "\[InvisibleSpace]", 
                    TagBox["False", "SummaryItem"]}]}}, 
                 GridBoxAlignment -> {
                  "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> 
                 False, GridBoxItemSize -> {
                  "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
                 GridBoxSpacings -> {
                  "Columns" -> {{2}}, "Rows" -> {{Automatic}}}, 
                 BaseStyle -> {
                  ShowStringCharacters -> False, NumberMarks -> False, 
                   PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, 
              GridBoxAlignment -> {"Rows" -> {{Top}}}, AutoDelete -> False, 
              GridBoxItemSize -> {
               "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, 
              BaselinePosition -> {1, 1}]}, 
           Dynamic[Typeset`open$$], ImageSize -> Automatic]},
         "SummaryPanel"],
        DynamicModuleValues:>{}], "]"}],
      InterpolatingFunction[{{0., 1.}, {0., 1.}}, {
       5, 5, 1, {56, 25}, {4, 6}, 0, 0, 0, 0, Automatic, {}, {}, 
        False}, {CompressedData["
1:eJwBzQEy/iFib1JlAQAAADgAAAAAAAAAAAAAADcANc1FRGA/NwA1zUVEcD9F
QIJAV1V0P1KAz7NoZng/iRHp6CVIeT/AogIe4yl6P/YzHFOgC3s/PQpEE0Tg
ez+E4GvT57R8P8q2k5OLiX0/MxPVCkxefj+bbxaCDDN/PwLmq3zmA4A/VXoO
32RxgD+oDnFB496AP/ui06NhTIE/MFEVjh27gT9l/1Z42SmCP5qtmGKVmII/
tdLh93QPgz/R9yqNVIaDP+RqBmIQK4g/993hNszPjD+FqN4FRLqQP9RvcXoa
h5k/kRuCd/gpoT84f8uxY5ClP+DiFOzO9qk/DVWEXlMjsT+qOP5GP0u1P0cc
eC8rc7k/5P/xFxebvT/A8TWAgeHAP1VS8bxt3MM/6rKs+VnXxj9/E2g2RtLJ
PxR0I3Myzcw/qdTerx7Izz+VEnvOBbzRP9a6BkX8k9M/F2OSu/Jr1T9XCx4y
6UPXP5izqajfG9k/gogJyRCC2z9sXWnpQejdPyuZ5IQ5J+A/oIMUFVJa4T8V
bkSlao3iPxbeHCF0N+Q/F071nH3h5T8Zvs0Yh4vnPxouppSQNek/G55+EJrf
6j8OTz8IzW/tPwAAAAAAAPA/mk/M8w==
        "], {0., 0.041666666666666664`, 0.08333333333333333, 0.125, 
        0.16666666666666666`, 0.20833333333333334`, 0.25, 0.2916666666666667, 
        0.3333333333333333, 0.375, 0.4166666666666667, 0.4583333333333333, 
        0.5, 0.5416666666666666, 0.5833333333333334, 0.625, 
        0.6666666666666666, 0.7083333333333334, 0.75, 0.7916666666666666, 
        0.8333333333333334, 0.875, 0.9166666666666666, 0.9583333333333334, 
        1.}}, {Developer`PackedArrayForm, CompressedData["
1:eJwd2AErKGCyBuCz51rXlSRJkmQlSZIkSZIkSZIkSZIkSbKSZCVJkiRJkiRJ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        "], CompressedData["
1:eJxkl3c8lf/7x22y916HQqkIyTh5E0KKoqSiiKwkImUUUlGRFZllJyQJGSf3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        "]}, {Automatic, Automatic}],
      Editable->False,
      SelectWithContents->True,
      Selectable->False], "[", 
     RowBox[{"t", ",", "x"}], "]"}]}], "}"}], "}"}]], "Output",
 CellChangeTimes->{{3.7865772746056147`*^9, 3.7865772871047044`*^9}, 
   3.7865773260720634`*^9, {3.7865846499645305`*^9, 3.7865846725940337`*^9}, {
   3.78658784809263*^9, 3.786587853048873*^9}},
 CellLabel->
  "Out[281]=",ExpressionUUID->"71017751-9e0f-49b5-98c2-526a1f7704a8"]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Plot3D", "[", 
  RowBox[{
   RowBox[{
    RowBox[{"\[Phi]", "[", 
     RowBox[{"t", ",", "x"}], "]"}], "/.", "mm"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "0", ",", "1"}], "}"}], ",", 
   RowBox[{"AxesLabel", "\[Rule]", "Automatic"}], ",", 
   RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input",
 CellLabel->
  "In[282]:=",ExpressionUUID->"d689eee2-f168-46a8-bac4-ef92f69b9cf9"],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx1nXdcT+/7xytJg4xsIcmeJaNSJ4WGhGwRslUyUiSUkBGSEUKhaatEWkqD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   "], {{
     {RGBColor[0.880722, 0.611041, 0.142051], EdgeForm[None], Specularity[
       GrayLevel[1], 3], 
      StyleBox[GraphicsGroup3DBox[
        TagBox[{Polygon3DBox[CompressedData["
1:eJxFmgf4T+X7xz/nPM9zChGVUomUldAQJYQGCgkNM0KTEhrSkCIqUUmTKG1N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           "]], Polygon3DBox[CompressedData["
1:eJwtmnkcVdMXxe+959zXgNKc9EMhohINkiKJohQNkjQIpaSQzFNFqUiozJSp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           "]], Polygon3DBox[CompressedData["
1:eJwt13mgV3MexvHbvb/fpRAzFUOJFpHsewyGlMpeylaism+hTSJRyNImS6Rl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           "]], Polygon3DBox[{{1173, 701, 835, 1426, 1009, 1010}}]},
         Annotation[#, "Charting`Private`Tag$8371#1"]& ]],
       Lighting->{{"Ambient", 
          RGBColor[0.30100577, 0.22414668499999998`, 0.090484535]}, {
         "Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{0, 2, 2}]}, {"Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{2, 2, 2}]}, {"Directional", 
          RGBColor[0.2642166, 0.18331229999999998`, 0.04261530000000001], 
          ImageScaled[{2, 0, 2}]}}]}, {}, {}, {}, {}}, {
     {GrayLevel[0], Line3DBox[CompressedData["
1:eJwt0k9LlEEAB+BprbTdyo7RQQlqD5ESBWKwFZ43PHTL1cxNAxdso0sqgqLB
LkSIKFlERERB9xY/gEsfoHVz839+AqMunuoZ6PB7n98Mw8y+s+/5fPHOoyMh
hAUZUWJ/4PGHb5tCOMNJ4896u77CTn7lDdZ5m8ljIVyzLqff1Et6l8zKb2sK
5sv6dZmTU0dDmDCX0c/pZT3NZV7lJ/awwm77PbWuqv81l9bHpGY8zItyNxHC
mnFR79Preo7f2c91DrDBe/zBQd6XDX2Im8xzK94Bt+P+3Il3w10+5B6feKdL
znomP42nmZWC3/ctnslV9vILb/Ejr/AlL7DEsxxnikkZ1Q/s3cd9ZlljhlV2
sMI2Nqw/5IxzWznFy/JBThu/j/fMdzwZ/0+m+IZJvuYJLrOFS1yU5vg98Djn
6frDCzouPKfjwyuPx3oivpP+6//38w9090Pz
       "]]}, 
     {GrayLevel[0.2], 
      Line3DBox[{925, 1316, 1317, 1282, 615, 1235, 1318, 1319, 1237, 1624, 
       1131, 1236, 1222, 1238, 1625, 1132, 926, 1442, 1133, 927, 1443, 1134, 
       928, 1444, 1135, 929, 1445, 1343, 1537, 930, 1446, 1136, 931, 1447, 
       1137, 932, 1448, 1138, 933, 1449, 1139, 934, 1450, 1140, 935, 1451, 
       1141, 936, 1626, 1239, 1142, 1240}], 
      Line3DBox[{937, 379, 1283, 1344, 1623, 1335, 374, 1284, 630, 1334, 1223,
        1285, 1641, 1143, 938, 1452, 1144, 939, 1453, 1145, 940, 1454, 1146, 
       941, 1455, 1345, 1538, 942, 1346, 1539, 943, 1456, 1147, 944, 1457, 
       1148, 945, 1458, 1149, 946, 1459, 1150, 947, 1460, 1151, 948, 1461, 
       1152, 949}], 
      Line3DBox[{951, 1241, 1286, 1347, 1627, 950, 1242, 1288, 1348, 1628, 
       952, 1243, 646, 953, 1462, 1153, 954, 1463, 1154, 955, 1464, 1155, 956,
        1465, 1349, 1540, 957, 1350, 1541, 958, 1351, 1542, 959, 1466, 1156, 
       960, 1467, 1157, 961, 1468, 1158, 962, 1469, 1159, 963, 1470, 1160, 
       964}], Line3DBox[{966, 1244, 1287, 1245, 1629, 965, 1246, 1289, 1247, 
       1630, 967, 1326, 1327, 1651, 968, 662, 969, 1471, 1161, 970, 1472, 
       1162, 971, 1473, 1352, 1543, 972, 1353, 1544, 973, 1354, 1545, 974, 
       1355, 1546, 975, 1474, 1163, 976, 1475, 1164, 977, 1476, 1165, 978, 
       1477, 1166, 979}], 
      Line3DBox[{981, 1324, 1339, 1325, 1650, 980, 1356, 1547, 982, 1248, 
       1328, 1548, 1421, 983, 1422, 1549, 1249, 984, 677, 985, 1478, 1167, 
       986, 1479, 1357, 1550, 987, 1358, 1551, 988, 1359, 1552, 989, 1360, 
       1553, 990, 1361, 1554, 991, 1480, 1168, 992, 1481, 1169, 993, 1482, 
       1170, 994}], 
      Line3DBox[{1008, 1172, 1485, 1007, 1171, 1484, 1006, 1564, 1368, 1005, 
       1563, 1367, 1004, 1562, 1366, 1003, 1561, 1365, 1002, 1560, 1364, 1001,
        1559, 1363, 1483, 1000, 691, 999, 1254, 1558, 1425, 998, 1253, 1557, 
       1424, 997, 1423, 1556, 1301, 1252, 996, 1555, 1362, 995, 1631, 1251, 
       1329, 1250, 1290}], 
      Line3DBox[{1011, 1330, 1331, 1304, 1646, 1173, 1010, 1486, 1174, 1013, 
       1256, 1305, 1647, 1175, 1291, 1429, 1487, 1176, 1292, 1431, 1488, 1177,
        1017, 1489, 1178, 1019, 1490, 706, 1021, 1491, 1179, 1023, 1492, 1180,
        1025, 1493, 1181, 1027, 1494, 1182, 1029, 1495, 1183, 1031, 1496, 
       1184, 1033, 1498, 1186, 1035}], 
      Line3DBox[{1034, 1185, 1497, 1032, 1577, 1376, 1030, 1576, 1375, 1028, 
       1575, 1374, 1026, 1574, 1373, 1024, 1573, 1372, 1022, 1572, 1371, 1020,
        1571, 705, 1018, 1570, 1370, 1016, 1258, 1569, 1430, 1015, 1257, 1568,
        1428, 1014, 1427, 1567, 1303, 1255, 1012, 1566, 1369, 1009, 1426, 
       1565, 1302, 1338, 1337, 1342}], 
      Line3DBox[{1037, 1332, 1333, 1306, 1377, 1632, 1036, 1499, 1187, 1038, 
       1259, 1307, 1648, 1188, 1293, 1432, 1500, 1189, 1294, 1433, 1501, 1190,
        1039, 1502, 1191, 1040, 1503, 1378, 1578, 1041, 720, 1042, 1504, 1192,
        1043, 1505, 1193, 1044, 1506, 1194, 1045, 1507, 1195, 1046, 1508, 
       1196, 1047, 1509, 1197, 1048}], 
      Line3DBox[{1050, 1260, 1379, 1633, 1049, 1261, 1308, 1380, 1634, 1295, 
       1262, 1309, 1649, 1198, 1296, 1434, 1510, 1199, 1297, 1435, 1511, 1200,
        1051, 1512, 1201, 1052, 1513, 1381, 1579, 1053, 1382, 1580, 1054, 734,
        1055, 1514, 1202, 1056, 1515, 1203, 1057, 1516, 1204, 1058, 1517, 
       1205, 1059, 1518, 1206, 1060}], 
      Line3DBox[{1062, 1383, 1581, 1061, 1263, 1310, 1384, 1635, 1298, 1264, 
       1312, 1385, 1636, 1299, 1436, 1519, 1207, 1300, 1642, 1265, 1208, 1063,
        1520, 1209, 1064, 1521, 1386, 1582, 1065, 1387, 1583, 1066, 1388, 
       1584, 1067, 748, 1068, 1522, 1210, 1069, 1523, 1211, 1070, 1524, 1212, 
       1071, 1525, 1213, 1072}], 
      Line3DBox[{1074, 1224, 1225, 1643, 1073, 1266, 1311, 1267, 1644, 1075, 
       1268, 1313, 1269, 1645, 1076, 1437, 1585, 1270, 1077, 1637, 1271, 1272,
        1078, 1526, 1214, 1079, 1527, 1389, 1586, 1080, 1390, 1587, 1081, 
       1391, 1588, 1082, 1392, 1589, 1083, 762, 1084, 1528, 1215, 1085, 1529, 
       1216, 1086, 1530, 1217, 1087}], 
      Line3DBox[{1089, 1226, 1314, 1227, 1638, 1088, 1228, 1315, 1229, 1639, 
       1090, 1230, 1590, 1415, 1091, 1438, 1591, 1274, 1092, 1439, 1592, 1275,
        1093, 1531, 1218, 1094, 1532, 1393, 1593, 1095, 1394, 1594, 1096, 
       1395, 1595, 1097, 1396, 1596, 1098, 1397, 1597, 1099, 776, 1100, 1533, 
       1219, 1101, 1534, 1220, 1102}], 
      Line3DBox[{1116, 1221, 1536, 1115, 790, 1114, 1608, 1405, 1113, 1607, 
       1404, 1112, 1606, 1403, 1111, 1605, 1402, 1110, 1604, 1401, 1109, 1603,
        1400, 1535, 1108, 1602, 1399, 1107, 1601, 1398, 1106, 1278, 1600, 
       1440, 1105, 1417, 1599, 1233, 1104, 1416, 1598, 1232, 1103, 1640, 1231,
        1273, 1341, 1340, 1336}], 
      Line3DBox[{1130, 1281, 880, 1129, 1622, 1414, 1128, 1621, 1413, 1127, 
       1620, 1412, 1126, 1619, 1411, 1125, 1618, 1410, 1124, 1617, 1409, 1123,
        1616, 1615, 1408, 1122, 1614, 1407, 1121, 1613, 1406, 1120, 1280, 
       1612, 1441, 1119, 1420, 1611, 1234, 1118, 1419, 1610, 1277, 1323, 1322,
        1117, 1418, 1609, 1276, 1321, 1320, 1279}]}, 
     {GrayLevel[0.2], 
      Line3DBox[{395, 804, 617, 1625, 396, 805, 631, 1641, 423, 823, 646, 438,
        919, 1651, 661, 453, 1548, 826, 883, 676, 468, 1556, 830, 885, 690, 
       483, 1567, 836, 888, 703, 1647, 498, 842, 891, 716, 1648, 513, 849, 
       895, 729, 1649, 528, 855, 899, 1636, 742, 543, 861, 1645, 904, 755, 
       558, 1590, 809, 907, 768, 573, 1599, 812, 910, 780, 588, 1611, 815, 
       912, 793, 603}], 
      Line3DBox[{397, 618, 1442, 398, 632, 1452, 424, 647, 1462, 439, 662, 
       454, 1549, 827, 884, 828, 469, 1557, 831, 886, 832, 484, 1568, 837, 
       889, 838, 1487, 499, 843, 892, 844, 1500, 514, 850, 896, 851, 1510, 
       529, 856, 900, 857, 1519, 544, 1585, 862, 905, 863, 559, 1591, 868, 
       908, 869, 574, 1600, 874, 911, 875, 589, 1612, 878, 913, 879, 604}], 
      Line3DBox[{399, 619, 1443, 400, 633, 1453, 425, 648, 1463, 440, 663, 
       1471, 455, 677, 470, 1558, 833, 887, 834, 485, 1569, 839, 890, 840, 
       1488, 500, 845, 893, 846, 1501, 515, 852, 897, 853, 1511, 530, 858, 
       901, 1642, 859, 545, 864, 1637, 906, 865, 560, 1592, 870, 909, 871, 
       575, 1601, 781, 590, 1613, 794, 605}], 
      Line3DBox[{401, 620, 1444, 402, 634, 1454, 426, 649, 1464, 441, 664, 
       1472, 456, 678, 1478, 471, 691, 486, 1570, 704, 1489, 501, 717, 1502, 
       516, 730, 1512, 531, 743, 1520, 546, 756, 1526, 561, 769, 1531, 576, 
       1602, 782, 591, 1614, 795, 606}], 
      Line3DBox[{403, 621, 1445, 405, 635, 1455, 427, 650, 1465, 442, 665, 
       1473, 457, 679, 1479, 472, 692, 1483, 487, 705, 1490, 502, 718, 1503, 
       517, 731, 1513, 532, 744, 1521, 547, 757, 1527, 562, 770, 1532, 577, 
       783, 1535, 592, 1615, 796, 607}], 
      Line3DBox[{407, 623, 1446, 408, 1539, 637, 429, 1541, 652, 444, 1544, 
       667, 459, 1551, 681, 474, 1560, 694, 489, 1572, 707, 1491, 504, 720, 
       519, 1580, 733, 534, 1583, 746, 549, 1587, 759, 564, 1594, 772, 579, 
       1604, 785, 594, 1617, 798, 609}], 
      Line3DBox[{409, 624, 1447, 410, 638, 1456, 430, 1542, 653, 445, 1545, 
       668, 460, 1552, 682, 475, 1561, 695, 490, 1573, 708, 1492, 505, 721, 
       1504, 520, 734, 535, 1584, 747, 550, 1588, 760, 565, 1595, 773, 580, 
       1605, 786, 595, 1618, 799, 610}], 
      Line3DBox[{411, 625, 1448, 412, 639, 1457, 431, 654, 1466, 446, 1546, 
       669, 461, 1553, 683, 476, 1562, 696, 491, 1574, 709, 1493, 506, 722, 
       1505, 521, 735, 1514, 536, 748, 551, 1589, 761, 566, 1596, 774, 581, 
       1606, 787, 596, 1619, 800, 611}], 
      Line3DBox[{413, 626, 1449, 414, 640, 1458, 432, 655, 1467, 447, 670, 
       1474, 462, 1554, 684, 477, 1563, 697, 492, 1575, 710, 1494, 507, 723, 
       1506, 522, 736, 1515, 537, 749, 1522, 552, 762, 567, 1597, 775, 582, 
       1607, 788, 597, 1620, 801, 612}], 
      Line3DBox[{415, 627, 1450, 416, 641, 1459, 433, 656, 1468, 448, 671, 
       1475, 463, 685, 1480, 478, 1564, 698, 493, 1576, 711, 1495, 508, 724, 
       1507, 523, 737, 1516, 538, 750, 1523, 553, 763, 1528, 568, 776, 583, 
       1608, 789, 598, 1621, 802, 613}], 
      Line3DBox[{417, 628, 1451, 418, 642, 1460, 434, 657, 1469, 449, 672, 
       1476, 464, 686, 1481, 479, 699, 1484, 494, 1577, 712, 1496, 509, 725, 
       1508, 524, 738, 1517, 539, 751, 1524, 554, 764, 1529, 569, 777, 1533, 
       584, 790, 599, 1622, 803, 614}], 
      Line3DBox[{419, 819, 1626, 820, 420, 643, 1461, 435, 658, 1470, 450, 
       673, 1477, 465, 687, 1482, 480, 700, 1485, 495, 713, 1497, 1498, 510, 
       726, 1509, 525, 739, 1518, 540, 752, 1525, 555, 765, 1530, 570, 778, 
       1534, 585, 791, 1536, 600, 880, 881, 882}], 
      Line3DBox[{601, 792, 915, 876, 813, 1609, 586, 779, 914, 872, 1640, 810,
        571, 766, 866, 1638, 807, 556, 753, 902, 1643, 806, 541, 740, 1581, 
       526, 727, 1633, 847, 511, 714, 1632, 841, 496, 1646, 701, 835, 1565, 
       481, 688, 1631, 829, 466, 674, 1650, 918, 451, 659, 1629, 824, 436, 
       644, 1627, 821, 421, 629, 1623, 922, 924, 923, 393, 615, 817, 917, 916,
        816}], Line3DBox[{602, 389, 877, 814, 1610, 587, 346, 873, 811, 1598, 
       572, 767, 867, 1639, 808, 557, 754, 903, 1644, 860, 542, 741, 1635, 
       898, 854, 527, 728, 1634, 894, 848, 512, 1499, 715, 497, 1486, 702, 
       1566, 482, 689, 1555, 467, 675, 1547, 452, 660, 1630, 825, 437, 645, 
       1628, 822, 422, 630, 921, 372, 394, 1624, 616, 818, 370, 920}], 
      Line3DBox[{608, 797, 1616, 593, 784, 1603, 578, 771, 1593, 563, 758, 
       1586, 548, 745, 1582, 533, 732, 1579, 518, 719, 1578, 503, 706, 1571, 
       488, 693, 1559, 473, 680, 1550, 458, 666, 1543, 443, 651, 1540, 428, 
       636, 1538, 406, 622, 1537, 404}]}, {}, {}}},
   VertexNormals->CompressedData["
1:eJxcXHc41l/cLkKLUDQ0KIlKsrLyfKwQRUZDZRVKUiojEllRtlJUhIxsyV7H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    "]],
  Axes->True,
  AxesLabel->{
    FormBox[
     TagBox["t", HoldForm], TraditionalForm], 
    FormBox[
     TagBox["x", HoldForm], TraditionalForm], 
    FormBox[
     TagBox[
      TemplateBox[{0}, "Spacer1"], HoldForm], TraditionalForm]},
  AxesOrigin->{Automatic, Automatic, Automatic},
  BoxRatios->{1, 1, 0.4},
  DisplayFunction->Identity,
  FaceGrids->None,
  FaceGridsStyle->Automatic,
  ImageSize->{397.1314798940206, 297.81744992800765`},
  ImageSizeRaw->Automatic,
  Method->{"DefaultBoundaryStyle" -> Directive[
      GrayLevel[0.3]], "RotationControl" -> "Globe"},
  PlotRange->{All, All, All},
  PlotRangePadding->{Automatic, Automatic, Automatic},
  Ticks->{Automatic, Automatic, Automatic},
  ViewPoint->{1.957589030239082, -2.017312475999871, 1.883692003184936},
  ViewVertical->{0., 0., 1.}]], "Output",
 CellChangeTimes->{
  3.7865773632445917`*^9, {3.7865846563530116`*^9, 3.7865846751991215`*^9}, 
   3.7865878563240986`*^9},
 CellLabel->
  "Out[282]=",ExpressionUUID->"6526b985-38fb-4b50-a499-4479bb2d2c8d"]
}, Open  ]],

Cell[BoxData[{
 RowBox[{
  RowBox[{"j", "=", "2"}], ";"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"l", "=", 
   RowBox[{"{", "1", "}"}]}], ";"}], "\[IndentingNewLine]", 
 RowBox[{"While", "[", 
  RowBox[{
   RowBox[{"j", "<", 
    RowBox[{"Length", "[", "\[Phi]2", "]"}]}], ",", "\[IndentingNewLine]", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{"AppendTo", "[", 
      RowBox[{"l", ",", 
       RowBox[{
        RowBox[{
         RowBox[{
          RowBox[{"(", 
           RowBox[{
            RowBox[{"\[Phi]1", "[", 
             RowBox[{"[", 
              RowBox[{"j", "-", "1"}], "]"}], "]"}], "+", 
            RowBox[{"\[Phi]1", "[", 
             RowBox[{"[", 
              RowBox[{"j", "+", "1"}], "]"}], "]"}], "-", 
            RowBox[{"2", 
             RowBox[{"\[Phi]1", "[", 
              RowBox[{"[", "j", "]"}], "]"}]}]}], ")"}], "/", 
          RowBox[{"h", "^", "2"}]}], "*", "\[Tau]"}], "+", 
        RowBox[{"0", "*", 
         RowBox[{"\[Phi]1", "[", 
          RowBox[{"[", "j", "]"}], "]"}]}]}]}], "]"}], "}"}], ";", 
    RowBox[{"j", "++"}]}]}], "]"}]}], "Input",
 CellChangeTimes->{{3.7865874384088526`*^9, 3.786587492906409*^9}},
 CellLabel->
  "In[221]:=",ExpressionUUID->"429e439d-8432-429e-bf1e-c97d0cef1cc2"],

Cell[CellGroupData[{

Cell[BoxData["l"], "Input",
 CellChangeTimes->{3.786587486860573*^9},
 CellLabel->
  "In[224]:=",ExpressionUUID->"525bc2b9-7d56-4a11-a620-7961b957a38b"],

Cell[BoxData[
 InterpretationBox[
  TagBox[
   FrameBox[GridBox[{
      {
       ItemBox[
        TagBox[
         RowBox[{"{", 
          RowBox[{"1", ",", 
           RowBox[{"-", "0.00010000000000008375`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           TemplateBox[{"9990"},
            "OutputSizeLimit`Skeleton"], ",", 
           RowBox[{"-", "0.00010000000000049032`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}], ",", 
           RowBox[{"-", "0.00009999999999994822`"}]}], "}"}],
         Short[#, 5]& ],
        BaseStyle->{Deployed -> False},
        StripOnInput->False]},
      {GridBox[{
         {
          TagBox[
           TooltipBox[
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource[
                "FEStrings", "sizeBriefExplanation"], StandardForm],
               ImageSizeCache->{48., {2., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLText",
             StripOnInput->False],
            StyleBox[
             DynamicBox[
              ToBoxes[
               FEPrivate`FrontEndResource["FEStrings", "sizeExplanation"], 
               StandardForm]], DynamicUpdating -> True, StripOnInput -> 
             False]],
           Annotation[#, 
            Style[
             Dynamic[
              FEPrivate`FrontEndResource["FEStrings", "sizeExplanation"]], 
             DynamicUpdating -> True], "Tooltip"]& ], 
          ButtonBox[
           PaneSelectorBox[{False->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowLess"], 
                StandardForm],
               ImageSizeCache->{48., {1., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControl",
             StripOnInput->False], True->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowLess"], 
                StandardForm]],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControlActive",
             StripOnInput->False]}, Dynamic[
             CurrentValue["MouseOver"]],
            Alignment->Center,
            FrameMargins->0,
            ImageSize->{Automatic, 25}],
           Appearance->None,
           BaselinePosition->Baseline,
           
           ButtonFunction:>OutputSizeLimit`ButtonFunction[
            OutputSizeLimit`Defer, 224, 27782197510496002735, 5/2],
           Enabled->True,
           Evaluator->Automatic,
           Method->"Queued"], 
          ButtonBox[
           PaneSelectorBox[{False->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowMore"], 
                StandardForm],
               ImageSizeCache->{48., {1., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControl",
             StripOnInput->False], True->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowMore"], 
                StandardForm]],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControlActive",
             StripOnInput->False]}, Dynamic[
             CurrentValue["MouseOver"]],
            Alignment->Center,
            FrameMargins->0,
            ImageSize->{Automatic, 25}],
           Appearance->None,
           BaselinePosition->Baseline,
           
           ButtonFunction:>OutputSizeLimit`ButtonFunction[
            OutputSizeLimit`Defer, 224, 27782197510496002735, 5 2],
           Enabled->True,
           Evaluator->Automatic,
           Method->"Queued"], 
          ButtonBox[
           PaneSelectorBox[{False->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowAll"], 
                StandardForm],
               ImageSizeCache->{48., {1., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControl",
             StripOnInput->False], True->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeShowAll"], 
                StandardForm]],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControlActive",
             StripOnInput->False]}, Dynamic[
             CurrentValue["MouseOver"]],
            Alignment->Center,
            FrameMargins->0,
            ImageSize->{Automatic, 25}],
           Appearance->None,
           BaselinePosition->Baseline,
           
           ButtonFunction:>OutputSizeLimit`ButtonFunction[
            OutputSizeLimit`Defer, 224, 27782197510496002735, Infinity],
           Enabled->True,
           Evaluator->Automatic,
           Method->"Queued"], 
          ButtonBox[
           PaneSelectorBox[{False->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeChangeLimit"], 
                StandardForm],
               ImageSizeCache->{81., {1., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControl",
             StripOnInput->False], True->
            StyleBox[
             StyleBox[
              DynamicBox[ToBoxes[
                FEPrivate`FrontEndResource["FEStrings", "sizeChangeLimit"], 
                StandardForm],
               ImageSizeCache->{81., {1., 10.}}],
              StripOnInput->False,
              DynamicUpdating->True], "OSLControlActive",
             StripOnInput->False]}, Dynamic[
             CurrentValue["MouseOver"]],
            Alignment->Center,
            FrameMargins->0,
            ImageSize->{Automatic, 25}],
           Appearance->None,
           BaselinePosition->Baseline,
           ButtonFunction:>FrontEndExecute[{
              FrontEnd`SetOptions[
              FrontEnd`$FrontEnd, 
               FrontEnd`PreferencesSettings -> {"Page" -> "Advanced"}], 
              FrontEnd`FrontEndToken["PreferencesDialog"]}],
           Evaluator->None,
           Method->"Preemptive"]}
        },
        AutoDelete->False,
        FrameStyle->GrayLevel[0.85],
        GridBoxDividers->{"Columns" -> {False, {True}}},
        GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}},
        GridBoxSpacings->{"Columns" -> {{2}}}]}
     },
     DefaultBaseStyle->"Column",
     GridBoxAlignment->{
      "Columns" -> {{Left}}, "ColumnsIndexed" -> {}, "Rows" -> {{Baseline}}, 
       "RowsIndexed" -> {}},
     GridBoxDividers->{
      "Columns" -> {{False}}, "ColumnsIndexed" -> {}, "Rows" -> {{False}}, 
       "RowsIndexed" -> {}},
     GridBoxItemSize->{
      "Columns" -> {{Automatic}}, "ColumnsIndexed" -> {}, "Rows" -> {{1.}}, 
       "RowsIndexed" -> {}},
     GridBoxSpacings->{"Columns" -> {
         Offset[0.27999999999999997`], {
          Offset[0.5599999999999999]}, 
         Offset[0.27999999999999997`]}, "ColumnsIndexed" -> {}, "Rows" -> {
         Offset[0.2], 
         Offset[1.2], {
          Offset[0.4]}, 
         Offset[0.2]}, "RowsIndexed" -> {}}],
    BaseStyle->"OutputSizeLimit",
    FrameMargins->{{12, 12}, {0, 15}},
    FrameStyle->GrayLevel[0.85],
    RoundingRadius->5,
    StripOnInput->False],
   Deploy,
   DefaultBaseStyle->"Deploy"],
  If[27782197510496002735 === $SessionID, 
   Out[224], Message[
     MessageName[Syntax, "noinfoker"]]; Missing["NotAvailable"]; 
   Null]]], "Output",
 CellChangeTimes->{{3.786587488507224*^9, 3.7865874968109674`*^9}},
 CellLabel->
  "Out[224]=",ExpressionUUID->"1088b755-92f6-419e-82cd-b98406335277"]
}, Open  ]]
}, Open  ]]
},
WindowSize->{1280, 637},
WindowMargins->{{-8, Automatic}, {Automatic, -8}},
CellContext->Notebook,
FrontEndVersion->"11.3 for Microsoft Windows (64-bit) (2018\:5e743\:670828\
\:65e5)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[558, 20, 6279, 144, 570, "Input",ExpressionUUID->"e54a79c8-ea24-4b02-ae41-ffc6b399a841"],
Cell[CellGroupData[{
Cell[6862, 168, 515, 10, 28, "Input",ExpressionUUID->"b85ac7dc-060e-495a-9a08-e3b929270aca"],
Cell[7380, 180, 313, 5, 32, "Output",ExpressionUUID->"10d765e1-d27d-4699-849e-5bc0d4839b20"]
}, Open  ]],
Cell[7708, 188, 211, 4, 45, "Input",ExpressionUUID->"64a39e34-3ec3-459f-b2f1-82bfbe2de453"],
Cell[7922, 194, 1172, 30, 45, "Input",ExpressionUUID->"d68b1b2b-84e9-486b-9562-fcc7c4e41997"],
Cell[CellGroupData[{
Cell[9119, 228, 220, 4, 45, "Input",ExpressionUUID->"2a53440d-3882-4222-895d-0152088f00b2"],
Cell[9342, 234, 292, 5, 32, "Output",ExpressionUUID->"8649e68e-4b8d-4dfe-81d3-28352372cdc3"]
}, Open  ]],
Cell[CellGroupData[{
Cell[9671, 244, 366, 6, 28, "Input",ExpressionUUID->"653f3cf0-3a4c-44b7-ac17-580c46dc6e92"],
Cell[10040, 252, 272, 5, 32, "Output",ExpressionUUID->"5d7f9e74-605b-40f3-8c3e-a30436b8c2b6"]
}, Open  ]],
Cell[CellGroupData[{
Cell[10349, 262, 194, 3, 28, "Input",ExpressionUUID->"99f39895-906d-4bfb-9703-dfd4a5301ef1"],
Cell[10546, 267, 170, 2, 32, "Output",ExpressionUUID->"2b516e53-8d11-4d47-976e-1f7619460eb0"]
}, Open  ]],
Cell[CellGroupData[{
Cell[10753, 274, 725, 19, 45, "Input",ExpressionUUID->"3f462010-0521-4b00-aef5-4e2728f7c304"],
Cell[11481, 295, 184, 2, 32, "Output",ExpressionUUID->"c77a4b5b-5613-44ac-bdbb-325520d55e1b"]
}, Open  ]],
Cell[CellGroupData[{
Cell[11702, 302, 1117, 17, 28, "Input",ExpressionUUID->"1a796588-8ac1-4b87-b974-d81df4168ae5"],
Cell[12822, 321, 914, 14, 32, "Output",ExpressionUUID->"572e8c91-9e2b-4d12-a1db-188bfe74750a"]
}, Open  ]],
Cell[CellGroupData[{
Cell[13773, 340, 179, 3, 28, "Input",ExpressionUUID->"250b7711-c122-4588-b1c4-7e1093f6f6cb"],
Cell[13955, 345, 173, 3, 32, "Output",ExpressionUUID->"31c3534f-e722-45a5-8e7c-171b7360156d"]
}, Open  ]],
Cell[14143, 351, 3464, 94, 193, "Input",ExpressionUUID->"fc0cc577-df70-4c5b-a153-3f44148f3b47"],
Cell[CellGroupData[{
Cell[17632, 449, 447, 8, 28, "Input",ExpressionUUID->"24443b67-fb59-4d69-a7ac-3fa41414abde"],
Cell[18082, 459, 34038, 579, 230, "Output",ExpressionUUID->"3cdeb1a6-9286-41fe-b8e3-76e77bdda2fe"]
}, Open  ]],
Cell[52135, 1041, 236, 6, 28, "Input",ExpressionUUID->"e30557bd-90ca-4822-b926-8a2ed67cc29c"],
Cell[CellGroupData[{
Cell[52396, 1051, 2953, 84, 175, "Input",ExpressionUUID->"97927b30-7539-41af-8e66-97cba5f3d2a7"],
Cell[55352, 1137, 357, 6, 32, "Output",ExpressionUUID->"25c6e033-e03a-4007-96ee-a698a7652978"],
Cell[55712, 1145, 66711, 1115, 368, "Output",ExpressionUUID->"fa33ce0d-8a25-44ed-8879-a35a6fe65e5d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[122460, 2265, 318, 8, 45, "Input",ExpressionUUID->"f3f1b7c9-7667-4007-b093-df9ddaa26fa0"],
Cell[122781, 2275, 1294, 38, 230, "Output",ExpressionUUID->"75634483-f06c-46d5-b81a-c9900d2c18a1"]
}, Open  ]],
Cell[CellGroupData[{
Cell[124112, 2318, 926, 27, 45, "Input",ExpressionUUID->"7eaa9e04-54c6-4f2e-a0c1-5b78b12bb5d3"],
Cell[125041, 2347, 53264, 921, 71, "Output",ExpressionUUID->"889a4c20-0cad-4b89-a294-9c27b07e4a02"]
}, Open  ]],
Cell[CellGroupData[{
Cell[178342, 3273, 295, 7, 28, "Input",ExpressionUUID->"55f951ec-2649-468e-84bb-28c914a6c101"],
Cell[178640, 3282, 158, 3, 32, "Output",ExpressionUUID->"0e8ab921-1574-45c6-be81-25a6bd8a06f2"]
}, Open  ]],
Cell[CellGroupData[{
Cell[178835, 3290, 4757, 122, 511, "Input",ExpressionUUID->"067ad1de-01fd-46a4-81dd-f0a2402c1a4e"],
Cell[CellGroupData[{
Cell[183617, 3416, 180, 4, 22, "Print",ExpressionUUID->"d72db737-5070-4ec6-a7d3-d8dcec5c60a3"],
Cell[183800, 3422, 197, 4, 22, "Print",ExpressionUUID->"7ddd09c3-667e-4619-a4ba-baa937be24a8"]
}, Open  ]],
Cell[184012, 3429, 256, 5, 32, "Output",ExpressionUUID->"4f36ee09-2ed9-4744-ac02-a180c9a9059d"]
}, Open  ]],
Cell[CellGroupData[{
Cell[184305, 3439, 179, 3, 28, "Input",ExpressionUUID->"65ee78cf-9c98-4433-9cdb-51bcb456f545"],
Cell[184487, 3444, 156, 3, 32, "Output",ExpressionUUID->"0690cce4-2c7d-4890-9330-c45bd5f09320"]
}, Open  ]],
Cell[184658, 3450, 4817, 117, 553, "Input",ExpressionUUID->"097c509c-daae-4f4d-9159-184ab1dca7eb"],
Cell[CellGroupData[{
Cell[189500, 3571, 460, 7, 28, "Input",ExpressionUUID->"77a9aff8-7f65-4db4-bce9-914e19ae942b"],
Cell[189963, 3580, 316, 4, 32, "Output",ExpressionUUID->"17e63595-3f72-4741-8df3-6568783982a0"]
}, Open  ]],
Cell[190294, 3587, 3048, 84, 175, "Input",ExpressionUUID->"ff7b6e80-439f-4aab-a89b-dd2fd5f35d07"],
Cell[CellGroupData[{
Cell[193367, 3675, 280, 5, 28, "Input",ExpressionUUID->"536a4db0-b852-4e20-b0e6-04d35de08100"],
Cell[193650, 3682, 18815, 330, 226, "Output",ExpressionUUID->"2b7eb95c-c510-43e7-9f87-2b7d6318c2ed"]
}, Open  ]],
Cell[212480, 4015, 329, 10, 8, "Text",ExpressionUUID->"427050a4-3d81-41bc-8f26-e20e9a9f9ea1"],
Cell[CellGroupData[{
Cell[212834, 4029, 139, 3, 67, "Section",ExpressionUUID->"dda93ecd-f57c-48d6-9ece-7eb024ef5ae2"],
Cell[212976, 4034, 275, 6, 28, "Input",ExpressionUUID->"f0892b6e-c4b3-42e5-8ebc-d7790d770d05"],
Cell[213254, 4042, 216, 4, 28, "Input",ExpressionUUID->"55575507-c7d0-4afd-8675-db425d65b59b"],
Cell[CellGroupData[{
Cell[213495, 4050, 888, 28, 45, "Input",ExpressionUUID->"64e83cd6-77ae-4ae9-9086-7860bf54da2f"],
Cell[214386, 4080, 9147, 189, 71, "Output",ExpressionUUID->"ced121f9-bfc1-4c5d-adca-88aac59a7fd8"]
}, Open  ]],
Cell[CellGroupData[{
Cell[223570, 4274, 211, 3, 45, "Input",ExpressionUUID->"784e222f-c65b-4c25-adaf-7354865a56db"],
Cell[223784, 4279, 312, 7, 32, "Output",ExpressionUUID->"ceabe2d1-a0f8-4695-ae61-611f51231f2b"]
}, Open  ]],
Cell[224111, 4289, 279, 6, 28, "Input",ExpressionUUID->"82433ee8-f4f7-4f50-9cd9-73be4183aa36"],
Cell[224393, 4297, 270, 6, 45, "Input",ExpressionUUID->"b5235102-6f3b-4f0d-bf4c-df349c61f17a"],
Cell[224666, 4305, 3389, 94, 193, "Input",ExpressionUUID->"72afe72e-cb53-48e2-ae3b-a672fae18216"],
Cell[CellGroupData[{
Cell[228080, 4403, 266, 5, 28, "Input",ExpressionUUID->"ef0eb31c-0c23-4e19-89c7-8b23d58cb493"],
Cell[228349, 4410, 43911, 741, 212, "Output",ExpressionUUID->"9e692a79-2801-47da-b74d-026df1cf22e7"]
}, Open  ]],
Cell[272275, 5154, 227, 5, 45, "Input",ExpressionUUID->"2748aaa9-1b7d-47fc-afff-8de61c7d0862"],
Cell[272505, 5161, 627, 18, 64, "Input",ExpressionUUID->"af2f8b1a-f594-4d6e-9e10-5b1e79ae8946"],
Cell[273135, 5181, 214, 4, 28, "Input",ExpressionUUID->"02d12318-a6bc-4ad1-b760-c12bcaeb58ab"],
Cell[273352, 5187, 2448, 57, 232, "Input",ExpressionUUID->"b6dc9b81-a45a-421f-91c4-63ddd2c9db1c"],
Cell[275803, 5246, 156, 3, 28, "Input",ExpressionUUID->"a675a96e-da3a-49a3-9118-d13f2ee05dec"],
Cell[275962, 5251, 323, 7, 28, "Input",ExpressionUUID->"452c7460-3e87-40cc-bcdc-3b3694bba769"],
Cell[276288, 5260, 252, 5, 28, "Input",ExpressionUUID->"2bb536f2-687c-489e-b1c0-098e645e540a"],
Cell[CellGroupData[{
Cell[276565, 5269, 786, 24, 28, "Input",ExpressionUUID->"810029ff-eb81-4b3e-997b-f6c984695ca6"],
Cell[277354, 5295, 156, 2, 32, "Output",ExpressionUUID->"33a5da44-10e4-4cc9-bd41-80c2cc16cf68"]
}, Open  ]],
Cell[CellGroupData[{
Cell[277547, 5302, 197, 3, 28, "Input",ExpressionUUID->"20368e29-0516-43d6-bf5b-02e5437f0c6f"],
Cell[277747, 5307, 178, 2, 32, "Output",ExpressionUUID->"c931d1d5-ed99-4aa6-a294-641b021ae621"]
}, Open  ]],
Cell[CellGroupData[{
Cell[277962, 5314, 786, 24, 28, "Input",ExpressionUUID->"214ff172-6f04-48da-ab65-7863c453e5fd"],
Cell[278751, 5340, 177, 2, 32, "Output",ExpressionUUID->"60c6539e-b218-49c8-b02e-bbc5c312ecdf"]
}, Open  ]],
Cell[278943, 5345, 745, 13, 28, "Input",ExpressionUUID->"789a0be6-a6de-408a-86d9-7b0861d5e5f5"],
Cell[279691, 5360, 672, 18, 64, "Input",ExpressionUUID->"84cecc25-14e0-45c8-b672-ce1616d74bc6"],
Cell[280366, 5380, 3665, 77, 273, "Input",ExpressionUUID->"ffa115bb-bb69-479a-b012-18949780972c"],
Cell[CellGroupData[{
Cell[284056, 5461, 1485, 30, 45, "Input",ExpressionUUID->"cca53251-c7d5-4785-940f-855457d7de0a"],
Cell[285544, 5493, 875, 16, 30, "Message",ExpressionUUID->"0f3c6a9b-e011-48b9-bf50-e0ed00201188"],
Cell[286422, 5511, 871, 16, 30, "Message",ExpressionUUID->"557d6f13-9c86-414d-966f-d8af690a2f82"],
Cell[287296, 5529, 875, 16, 30, "Message",ExpressionUUID->"bec82267-8ca8-4e57-9495-fff170c06ded"],
Cell[288174, 5547, 552, 12, 24, "Message",ExpressionUUID->"61fb27eb-f71a-4289-89a3-d292e34e416d"],
Cell[288729, 5561, 10302, 231, 129, "Output",ExpressionUUID->"d8c10f6b-86f3-49c2-862a-d47ade07ba8e"]
}, Open  ]],
Cell[299046, 5795, 206, 4, 28, "Input",ExpressionUUID->"e8c205f9-b6ed-4c11-abb4-e46f201b55ef"],
Cell[CellGroupData[{
Cell[299277, 5803, 216, 4, 45, "Input",ExpressionUUID->"46b95fce-73fc-48b0-9b6c-7453a3dae780"],
Cell[299496, 5809, 11474, 205, 179, "Output",ExpressionUUID->"e77de772-a50d-48f7-8765-46d23301494c"]
}, Open  ]],
Cell[310985, 6017, 152, 3, 28, "Input",ExpressionUUID->"8abee1d0-64af-4b47-a50e-4271d707a24f"],
Cell[CellGroupData[{
Cell[311162, 6024, 510, 13, 45, "Input",ExpressionUUID->"44e43950-e012-4e4c-b48e-5777048123dc"],
Cell[311675, 6039, 6810, 130, 238, "Output",ExpressionUUID->"a634ba34-b59c-4a7b-b3ad-9ae376b43525"]
}, Open  ]],
Cell[318500, 6172, 213, 4, 45, "Input",ExpressionUUID->"dae5f7c2-877f-4fdc-972a-c9ebbe42b3e7"],
Cell[CellGroupData[{
Cell[318738, 6180, 1493, 39, 45, "Input",ExpressionUUID->"040253b6-8cda-4fe1-92fe-aba90c07bb32"],
Cell[320234, 6221, 37543, 653, 71, "Output",ExpressionUUID->"71017751-9e0f-49b5-98c2-526a1f7704a8"]
}, Open  ]],
Cell[CellGroupData[{
Cell[357814, 6879, 486, 13, 45, "Input",ExpressionUUID->"d689eee2-f168-46a8-bac4-ef92f69b9cf9"],
Cell[358303, 6894, 100553, 1648, 315, "Output",ExpressionUUID->"6526b985-38fb-4b50-a499-4479bb2d2c8d"]
}, Open  ]],
Cell[458871, 8545, 1248, 35, 120, "Input",ExpressionUUID->"429e439d-8432-429e-bf1e-c97d0cef1cc2"],
Cell[CellGroupData[{
Cell[460144, 8584, 152, 3, 28, "Input",ExpressionUUID->"525bc2b9-7d56-4a11-a620-7961b957a38b"],
Cell[460299, 8589, 8111, 211, 98, "Output",ExpressionUUID->"1088b755-92f6-419e-82cd-b98406335277"]
}, Open  ]]
}, Open  ]]
}
]
*)

